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Rozprawy doktorskie na temat „HYBRID CLUSTERING”

Autor: Grafiati

Data publikacji: 11 września 2023

Data aktualizacji: 25 lipca 2025

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1

Keller, Jens. "Clustering biological data using a hybrid approach : Composition of clusterings from different features." Thesis, University of Skövde, School of Humanities and Informatics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1078.

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<p>Clustering of data is a well-researched topic in computer sciences. Many approaches have been designed for different tasks. In biology many of these approaches are hierarchical and the result is usually represented in dendrograms, e.g. phylogenetic trees. However, many non-hierarchical clustering algorithms are also well-established in biology. The approach in this thesis is based on such common algorithms. The algorithm which was implemented as part of this thesis uses a non-hierarchical graph clustering algorithm to compute a hierarchical clustering in a top-down fashion. It performs the

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Tyree, Eric William. "A hybrid methodology for data clustering." Thesis, City University London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301057.

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Moore, Garrett Lee. "A Hybrid (Active-Passive) VANET Clustering Technique." Diss., NSUWorks, 2019. https://nsuworks.nova.edu/gscis_etd/1077.

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Clustering serves a vital role in the operation of Vehicular Ad hoc Networks (VANETs) by continually grouping highly mobile vehicles into logical hierarchical structures. These moving clusters support Intelligent Transport Systems (ITS) applications and message routing by establishing a more stable global topology. Clustering increases scalability of the VANET by eliminating broadcast storms caused by packet flooding and facilitate multi-channel operation. Clustering techniques are partitioned in research into two categories: active and passive. Active techniques rely on periodic beacon messag

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Gurcan, Fatih. "A Hybrid Movie Recommender Using Dynamic Fuzzy Clustering." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/2/12611667/index.pdf.

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Recommender systems are information retrieval tools helping users in their information seeking tasks and guiding them in a large space of possible options. Many hybrid recommender systems are proposed so far to overcome shortcomings born of pure content-based (PCB) and pure collaborative filtering (PCF) systems. Most studies on recommender systems aim to improve the accuracy and efficiency of predictions. In this thesis, we propose an online hybrid recommender strategy (CBCFdfc) based on content boosted collaborative filtering algorithm which aims to improve the prediction accuracy and efficie

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Tantrum, Jeremy. "Model based and hybrid clustering of large datasets /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/8933.

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Garbiso, Julian Pedro. "Fair auto-adaptive clustering for hybrid vehicular networks." Thesis, Paris, ENST, 2017. http://www.theses.fr/2017ENST0061/document.

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Dans le cadre du développement des innovations dans les Systèmes de Transport Intelligents, les véhicules connectés devront être capables de télécharger des informations basées sur la position sur et depuis des serveurs distants. Ces véhicules seront équipés avec des différentes technologies d’accès radio, telles que les réseaux cellulaires ou les réseaux véhicule-à-véhicule (V2V) comme IEEE 802.11p. Les réseaux cellulaires, avec une couverture presque omniprésente, fournissent un accès à internet avec garanties de qualité de service. Cependant, l’accès à ces réseaux est payant. Dans cette thè

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Garbiso, Julian Pedro. "Fair auto-adaptive clustering for hybrid vehicular networks." Electronic Thesis or Diss., Paris, ENST, 2017. http://www.theses.fr/2017ENST0061.

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Dans le cadre du développement des innovations dans les Systèmes de Transport Intelligents, les véhicules connectés devront être capables de télécharger des informations basées sur la position sur et depuis des serveurs distants. Ces véhicules seront équipés avec des différentes technologies d’accès radio, telles que les réseaux cellulaires ou les réseaux véhicule-à-véhicule (V2V) comme IEEE 802.11p. Les réseaux cellulaires, avec une couverture presque omniprésente, fournissent un accès à internet avec garanties de qualité de service. Cependant, l’accès à ces réseaux est payant. Dans cette thè

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8

Javed, Ali. "A Hybrid Approach to Semantic Hashtag Clustering in Social Media." ScholarWorks @ UVM, 2016. http://scholarworks.uvm.edu/graddis/623.

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The uncontrolled usage of hashtags in social media makes them vary a lot in the quality of semantics and the frequency of usage. Such variations pose a challenge to the current approaches which capitalize on either the lexical semantics of a hashtag by using metadata or the contextual semantics of a hashtag by using the texts associated with a hashtag. This thesis presents a hybrid approach to clustering hashtags based on their semantics, designed in two phases. The first phase is a sense-level metadata-based semantic clustering algorithm that has the ability to differentiate among distinct se

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9

GARRAFFA, MICHELE. "Exact and Heuristic Hybrid Approaches for Scheduling and Clustering Problems." Doctoral thesis, Politecnico di Torino, 2016. http://hdl.handle.net/11583/2639115.

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This thesis deals with the design of exact and heuristic algorithms for scheduling and clustering combinatorial optimization problems. All the works are linked by the fact that all the presented methods arebasically hybrid algorithms, that mix techniques used in the world of combinatorial optimization. The algorithms are all efficient in practice, but the one presented in Chapter 4, that has mostly theoretical interest. Chapter 2 presents practical solution algorithms based on an ILP model for an energy scheduling combinatorial problem that arises in a smart building context. Chapter 3 presen

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10

Masoudi, Pedram. "Application of hybrid uncertainty-clustering approach in pre-processing well-logs." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S023/document.

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La thèse est principalement centrée sur l'étude de la résolution verticale des diagraphies. On outre, l'arithmétique floue est appliquée aux modèles expérimentaux pétrophysiques en vue de transmettre l'incertitude des données d'entrée aux données de sortie, ici la saturation irréductible en eau et la perméabilité. Les diagraphies sont des signaux digitaux dont les données sont des mesures volumétriques. Le mécanisme d'enregistrement de ces données est modélisé par des fonctions d'appartenance floues. On a montré que la Résolution Verticale de la Fonction d'Appartenance (VRmf) est supérieur d'e

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11

Hung, Chih-Li. "An adaptive SOM model for document clustering using hybrid neural techniques." Thesis, University of Sunderland, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400460.

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12

GRIBEL, DANIEL LEMES. "HYBRID GENETIC ALGORITHM FOR THE MINIMUM SUM-OF-SQUARES CLUSTERING PROBLEM." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30724@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Clusterização desempenha um papel importante em data mining, sendo útil em muitas áreas que lidam com a análise exploratória de dados, tais como recuperação de informações, extração de documentos e segmentação de imagens. Embora sejam essenciais em aplicações de data mining, a maioria dos algoritmos de clusterização são métodos ad-hoc. Eles carecem de garantias na qualidade da solução, que em muitos casos está relacionada a uma convergência prematura para um mínimo local no es

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13

Goncalves, Contente Francisco. "Hierarchical Clustering based Dynamic Subarrays for Hybrid Beamforming Massive MU-MIMO." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285515.

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Hybrid Beamforming in multiple input multiple output systems has surged in the past few years as the prime precoding architecture for massive MIMO systems since it addresses the systems performance and complexity/power consumption tradeoff. Most of the literature addresses HBF MIMO with a fixed antenna subarray, however it is possible to further increase the spectral efficiency of the system by dynamically configuring the HBF MIMO subarray according the channel state information of the users. In this study it is shown that finding the subarray configuration which maximizes the largest singular

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14

Chen, Alvin Yun-Wen. "Peer clustering a hybrid architecture for massively scaled distributed virtual environments /." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1472132491&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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15

Kannamareddy, Aruna Sai. "Density and partition based clustering on massive threshold bounded data sets." Kansas State University, 2017. http://hdl.handle.net/2097/35467.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>The project explores the possibility of increasing efficiency in the clusters formed out of massive data sets which are formed using threshold blocking algorithm. Clusters thus formed are denser and qualitative. Clusters that are formed out of individual clustering algorithms alone, do not necessarily eliminate outliers and the clusters generated can be complex, or improperly distributed over the data set. The threshold blocking algorithm, a current research paper from Michael Higgins of Statistics Depar

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16

Baburam, Arun. "Adaptive mobility based clustering and hybrid geographic routing for mobile ad hoc networks." Thesis, University of Sussex, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.436822.

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17

Tour, Samir R. "Parallel Hybrid Clustering using Genetic Programming and Multi-Objective Fitness with Density(PYRAMID)." NSUWorks, 2006. http://nsuworks.nova.edu/gscis_etd/886.

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Clustering is the art of locating patterns in large data sets. It is an active research area that provides value to scientific as well as business applications. There are some challenges that face practical clustering including: identifying clusters of arbitrary shapes, sensitivity to the order of input, dynamic determination of the number of clusters, outlier handling, high dependency on user-defined parameters, processing speed of massive data sets, and the potential to fall into sub-optimal solutions. Many studies that were conducted in the realm of clustering have addressed some of these c

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Dayananda, Karanam Ravichandran. "Zone Based Hybrid Approach for Clustering and Data Collection in Wireless Sensor Networks." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28738.

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A wireless sensor network (WSN) is a collection of spatially distributed autonomous sensor nodes that can be used to monitor, among other things, environmental conditions. WSN nodes are constrained by their limited energy supply, communication range and local computational capabilities. Data routing is an area that can be optimized to allow nodes to conserve energy, improving the network?s overall lifetime. Though many routing protocols can be used, using a clustering protocol can play an important role in conserving WSN energy. A new hybrid algorithm is proposed which incorporates both distri

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19

Ali, Klaib Alhadi. "Clustering-based labelling scheme : a hybrid approach for efficient querying and updating XML documents." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34580/.

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Extensible Markup Language (XML) has become a dominant technology for transferring data through the worldwide web. The XML labelling schemes play a key role in handling XML data efficiently and robustly. Thus, many labelling schemes have been proposed. However, these labelling schemes have limitations and shortcomings. Thus, the aim of this research was to investigate the existing XML labelling schemes and their limitations in order to address the issue of efficiency of XML query performance. This thesis investigated the existing labelling schemes and classified them into three categories base

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20

Alzahrani, Khalid Mohammed. "Perspectives on Hybrid Electric Vehicles in the Kingdom Of Saudi Arabia." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/305.

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"To satisfy the global energy demand while accommodating the rapidly increasing consumption rate in its domestic market, Saudi Arabia must develop and implement fuel efficiency programs in many sectors. Since transportation is a major contributor to fuel consumption and emission levels, introducing Hybrid Electric Vehicles (HEV) provides a viable solution to mitigate the current problems. However, existing studies on the diffusion of innovative vehicle technologies as well as on the understanding of the vehicle ownership and consumer behavior in Saudi Arabia are sparse. To fill this knowledge

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21

Annakula, Chandravyas. "Hierarchical and partitioning based hybridized blocking model." Kansas State University, 2017. http://hdl.handle.net/2097/35468.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>(Higgins, Savje, & Sekhon, 2016) Provides us with a sampling blocking algorithm that enables large and complex experiments to run in polynomial time without sacrificing the precision of estimates on a covariate dataset. The goal of this project is to run the different clustering algorithms on top of clusters formed from above mentioned blocking algorithm and analyze the performance and compatibility of the clustering algorithms. We first start with applying the blocking algorithm on a covariate dataset

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22

Oztoprak, Kasim. "Hybrid Cdn P2p Architecture For Multimedia Streaming." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609400/index.pdf.

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In this thesis, the problems caused by peer behavior in peer-to-peer (P2P) video streaming is investigated. First, peer behaviors are modeled using two dimensional continuous time markov chains to investigate the reliability of P2P video streaming systems. Then a metric is proposed to evaluate the dynamic behavior and evolution of P2P overlay network. Next, a hybrid geographical location-time and interest based clustering algorithm is proposed to improve the success ratio and reduce the delivery time of required content. Finally, Hybrid Fault Tolerant Video Streaming System (HFTS) over P2P net

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Jaradat, Mohammad Abdel Kareem Rasheed. "A hybrid system for fault detection and sensor fusion based on fuzzy clustering and artificial immune systems." Texas A&M University, 2005. http://hdl.handle.net/1969.1/4780.

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In this study, an efficient new hybrid approach for multiple sensors data fusion and fault detection is presented, addressing the problem with possible multiple faults, which is based on conventional fuzzy soft clustering and artificial immune system (AIS). The proposed hybrid system approach consists of three main phases. In the first phase signal separation is performed using the Fuzzy C-Means (FCM) algorithm. Subsequently a single (fused) signal based on the information provided from the sensor signals is generated by the fusion engine. The information provided from the previous two phases

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24

Tejaswi, Nunna. "Performance Analysis on Hybrid and ExactMethods for Solving Clustered VRP : A Comparative Study on VRP Algorithms." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14112.

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Context: The Vehicle Routing Problem is an NP-hard problem with a combination of varieties oftopics like logistics, optimization research and data mining. There is a vast need of vehicle routingsolutions in day to day like with different constraints. According to the requirements, this problem hasbeen a field of interest to a lot of researchers who incorporate scientific methods to combine andinnovate new solutions to optimize the routing. Being an np-hard problem, it is almost impossible tocompute the solutions to optimality but years of research on this area has paid off quite significantlya

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25

Naldi, Murilo Coelho. "Agrupamento híbrido de dados utilizando algoritmos genéticos." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-07112006-080351/.

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Técnicas de Agrupamento vêm obtendo bons resultados quando utilizados em diversos problemas de análise de dados, como, por exemplo, a análise de dados de expressão gênica. Porém, uma mesma técnica de agrupamento utilizada em um mesmo conjunto de dados pode resultar em diferentes formas de agrupar esses dados, devido aos possíveis agrupamentos iniciais ou à utilização de diferentes valores para seus parâmetros livres. Assim, a obtenção de um bom agrupamento pode ser visto como um processo de otimização. Esse processo procura escolher bons agrupamentos iniciais e encontrar o melhor conjunto de v

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Jaafar, Amine. "Traitement de la mission et des variables environnementales et intégration au processus de conception systémique." Thesis, Toulouse, INPT, 2011. http://www.theses.fr/2011INPT0070/document.

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Ce travail présente une démarche méthodologique visant le «traitement de profils» de «mission» et plus généralement de «variables environnementales» (mission, gisement, conditions aux limites), démarche constituant la phase amont essentielle d’un processus de conception systémique. La «classification» et la «synthèse» des profils relatifs aux variables d’environnement du système constituent en effet une première étape inévitable permettant de garantir, dans une large mesure, la qualité du dispositif conçu et ce à condition de se baser sur des «indicateurs» pertinents au sens des critères et co

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SOUZA, Leandro Carlos de. "Agrupamento e regressão linear de dados simbólicos intervalares baseados em novas representações." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/17640.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-08-08T12:52:58Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) teseCinLeandro.pdf: 1316077 bytes, checksum: 61e762c7526a38a80ecab8f5c7769a47 (MD5)<br>Made available in DSpace on 2016-08-08T12:52:58Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) teseCinLeandro.pdf: 1316077 bytes, checksum: 61e762c7526a38a80ecab8f5c7769a47 (MD5) Previous issue date: 2016-01-18<br>Um intervalo é um tipo de dado complexo usado n

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Barak, Sasan. "Technical and Fundamental Features’ analysis for Stock Market Prediction with Data Mining Methods." Doctoral thesis, Università degli studi di Bergamo, 2019. http://hdl.handle.net/10446/128764.

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Of the most important concerns of market practitioners is future information of the companies which offer stocks. A reliable prediction of the company’s financial status provides a situation for the investor to more confident investments and gaining more profits(Huang, 2012b). Accurately prediction of stocks’ prices has a positive affects into the organizations financial stability (Asadi et al., 2012). Since financial market is complex and has non-linear dynamic systems, its prediction is really challenging (Huang and Tsai, 2009). The steady and amazing progress of computer hardware technolo

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29

Luo, Hongwei, and Hongwei luo@rmit edu au. "Modelling and simulation of large-scale complex networks." RMIT University. Mathematical and Geospatial Sciences, 2007. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20080506.142224.

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Real-world large-scale complex networks such as the Internet, social networks and biological networks have increasingly attracted the interest of researchers from many areas. Accurate modelling of the statistical regularities of these large-scale networks is critical to understand their global evolving structures and local dynamical patterns. Traditionally, the Erdos and Renyi random graph model has helped the investigation of various homogeneous networks. During the past decade, a special computational methodology has emerged to study complex networks, the outcome of which is identified by tw

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Rahmani, Hoda. "Traveling Salesman Problem with Single Truck and Multiple Drones for Delivery Purposes." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1563894245160348.

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Ouali, Abdelkader. "Méthodes hybrides parallèles pour la résolution de problèmes d'optimisation combinatoire : application au clustering sous contraintes." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC215/document.

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Les problèmes d’optimisation combinatoire sont devenus la cible de nombreuses recherches scientifiques pour leur importance dans la résolution de problèmes académiques et de problèmes réels rencontrés dans le domaine de l’ingénierie et dans l’industrie. La résolution de ces problèmes par des méthodes exactes ne peut être envisagée à cause des délais de traitement souvent exorbitants que nécessiteraient ces méthodes pour atteindre la (les) solution(s) optimale(s). Dans cette thèse, nous nous sommes intéressés au contexte algorithmique de résolution des problèmes combinatoires, et au contexte de

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32

Grozavu, Nistor. "Classification topologique pondérée : approches modulaires, hybrides et collaboratives." Paris 13, 2009. http://www.theses.fr/2009PA132022.

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Cette thèse est consacrée d'une part, à l'étude d'approches de caractérisation des classes découvertes pendant l'apprentissage non-supervisé, et d'autre part, à la classification non-supervisée modulaire, hybride et collaborative. L'étude se focalise essentiellement sur deux axes : - la caractérisation des classes en utilisant la pondération et la sélection des variables pertinentes, ainsi que l'utilisation de la notion de mémoire pendant le processus d'apprentissage topologique non-supervisé; - l'utilisation de plusieurs techniques de clustering en parallèle et en série : approches modulaires

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Savoca, Marco [Verfasser], Otto [Akademischer Betreuer] Dopfer, Otto [Gutachter] Dopfer, and Gereon [Gutachter] Nidner-Schatteburg. "Spektroskopie an silizium- und kohlenstoffhaltigen Clustern: Dotierung und Hybride / Marco Savoca ; Gutachter: Otto Dopfer, Gereon Nidner-Schatteburg ; Betreuer: Otto Dopfer." Berlin : Technische Universität Berlin, 2018. http://d-nb.info/1156274737/34.

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Jemili, Imen. "Clusterisation et conservation d’énergie dans les réseaux ad hoc hybrides à grande échelle." Thesis, Bordeaux 1, 2009. http://www.theses.fr/2009BOR13818/document.

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Dans le cadre des réseaux ad hoc à grande envergure, le concept de clusterisation peut être mis à profit afin de faire face aux problèmes de passage à l'échelle et d'accroître les performances du système. Tout d’abord, cette thèse présente notre algorithme de clusterisation TBCA ‘Tiered based Clustering algorithm’, ayant pour objectif d’organiser le processus de clusterisation en couches et de réduire au maximum le trafic de contrôle associé à la phase d’établissement et de maintenance de l’infrastructure virtuelle générée. La formation et la maintenance d’une infrastructure virtuelle ne sont

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35

Liu, YiChun, and 劉逸群. "A Hybrid Approach to Clustering Algorithms." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/39232384482741892012.

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碩士<br>國立中央大學<br>資訊工程研究所<br>90<br>Clustering algorithms are effective tools for exploring the structures of complex data sets, therefore, are of great value in a number of applications. For most of clustering algorithms, two crucial problems required to be solved are (1) the determining of the optimal number of clusters (2) the determining of the similarity measure based on which patterns are assigned to corresponding clusters. The estimation of the number of clusters in the data set is the so-called cluster validity problem. Conventional approaches to solving the cluster validity problem usual

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Cheng, Yi-Shan, and 鄭伊珊. "A Modified Hybrid Recommendation Mechanism using clustering concept." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/dm7u39.

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碩士<br>中原大學<br>資訊管理研究所<br>98<br>In the era of information explosion, a lot of information surrounds our daily life. It is important that helping people to filter out unnecessary data can improve their performance on obtaining appropriate information. Therefore, this study adopts some user profile information to construct user preference model. This research also develops a classified method and a simulated tool to recommend items and contents for users. Firstly, the proposed method uses k-means clustering method to group users according to their personal attributes. Secondly, we use neural netw

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Hsu, Wu-hsien, and 許武先. "Conjecturable Rules Discovery by Clustering-Classification Hybrid Approach." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/65946782992000654374.

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博士<br>國立中央大學<br>資訊管理研究所<br>99<br>Discovering hidden or unknown knowledge is the major theme of most data mining studies. In this dissertation, we propose a new approach to discover conjecturable rules, which categorize observations of a data set into classes of similar attribute values instead of classes of crisp labels. The proposed approach is developed based on the two most developed data mining techniques: Classification and Clustering. Classification is the problem of identifying the sub-population to which new observations belong. The result is decided according to a set of rules which d

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CHEN, PEI-YIN, and 陳姵穎. "A Hybrid Autoencoder Networks for Unsupervised Image Clustering." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/76trm9.

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碩士<br>東吳大學<br>資訊管理學系<br>107<br>Image clustering involves the process of mapping an archive image into a cluster such that the set of clusters has the same information. It is an important field of machine learning and computer vision. Although traditional clustering methods, such as k-means or the agglomerative clustering method, have been widely used for the task of clustering, it is difficult for them to handle image data due to having no predefined distance metrics and high dimensionality. Recently, deep unsupervised feature learning methods, such as the autoencoder (AE), have been employed

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Chen, Mei-Chen, and 陳美蓁. "Sensing Data Clustering for Hybrid Cellular-Vehicular Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5394077%22.&searchmode=basic.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>107<br>With the development of the self-driving field, the research of the Vehicular Network is important. Assume that every vehicle is controlled by the base station, so the information of vehicles need to be uploaded to the base station. Vehicles are equipped with sensors to detect neighboring nodes. If every vehicle uploads its own and neighboring nodes information, it will cause too much redundant information. Use clustering (clustering) techniques to reduce the overhead of vehicular network. In the past research, the selected leadership(CH, Cluster Head) used

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Chen, Chien-Chih, and 陳建志. "Automatic Clustering for Cell Formation Using Hybrid Evolutionary Algorithms." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/c9r9zk.

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博士<br>大同大學<br>資訊工程學系(所)<br>102<br>To design an efficient cellular manufacturing system, the first fundamental task is to form machine cells and part families, called cell formation (CF). CF problems can be classified into two categories: standard CF and generalized CF (GCF). In standard CF each part has a single process routing, while in GCF each part has more than one process routing. One of the drawbacks of existing CF approaches is that the number of part families or machine cells has to be specified in advance. In practice, it is difficult for the machine cell designer to determine the opt

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Chen, Ko-ning, and 陳克寧. "A Study of Clustering Approaches Using Hybrid Neural Networks." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/34645542198203170776.

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碩士<br>南華大學<br>資訊管理學研究所<br>91<br>This thesis proposes two hybrid clustering approaches using neural networks. These clustering approaches use a Self-Organizing Map (SOM) to preprocess data, and apply some traditional clustering methods (e.g. Fuzzy Min-Max Neural Networks [28]) to data mining. Finally, we use some bench-mark exemplification for testing our approaches. 　　　The first approach uses the property of data topology preservation of SOM to generate protoclusters [21] (or quantization information) in the first step. Subsequently, quantization information will be clustered again by our imp

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DLAMIN, THEMBELIHLE, and 狄天柏. "Clustering and Resource Allocation Schemes for Hybrid Femtocell Networks." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/27207044722567235666.

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碩士<br>國立交通大學<br>電機資訊國際學程<br>102<br>為了提升住宅和企業內部環境的服務範圍和服務品質，毫微微型細胞 (femtocells)已被視為一個解決方案，因為它可以提供低功率耗損且讓使用者自行佈署的特性。此外，毫微微型細胞可以被允許與巨細胞網路 (macro network)使用相同的載波頻率或是不同的載波頻率。在一個具有高緻密毫微微型細胞佈署的傳輸環境中，資源配置和干擾管理是一個重要的研究議題，其中干擾主要來自於使用不同的存取模式的毫微微型細胞。若毫微微型細胞運作在封閉存取模式 (closed access mode)指的是只允許擁有子載波使用權的使用者來和毫微微型細胞做連結;而在開放存取模式 (open access mode)指的是所有使用者皆可和毫微微型細胞來做連結。為了獲得毫微微型細胞在企業內部環境建置的好處，混合式存取模式 (hybrid access mode)可以考慮被系統所採用，該模式可以同時服務封閉式用戶群組 (closed subscriber group)毫微微型細胞內的使用者和非封閉式用戶群組(Non-closed subscriber group)毫微微型細胞內的使用者。此外，當毫微微型細胞運作在混合式存取模式，可以提供封閉和非封閉式使用者間不同的服務層級。在本論文中，我們考慮毫微微型細胞運作在混合式存取模式，且僅允許非封閉式

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Chang, Hsi-mei, and 張喜媄. "Hybrid Algorithms of Finding Features for Clustering Sequential Data." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/17214461923175181494.

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碩士<br>國立中山大學<br>資訊工程學系研究所<br>98<br>Proteins are the structural components of living cells and tissues, and thus an important building block in all living organisms. Patterns in proteins sequences are some subsequences which appear frequently. Patterns often denote important functional regions in proteins and can be used to characterize a protein family or discover the function of proteins. Moreover, it provides valuable information about the evolution of species. Grouping protein sequences that share similar structure helps in identifying sequences with similar functionality. Many algorithms h

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Chen, You-Yu, and 陳攸伃. "The Development of Hybrid Optimization Algorithm for Fuzzy Clustering." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/t937sf.

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碩士<br>國立臺北科技大學<br>工業工程與管理研究所<br>97<br>The Fuzzy C-means Algorithm as proposed by Dunn (1974) is a commonly used fuzzy clustering method which conducts data clustering by randomly selecting initial centroids. With larger data size or attribute dimensions, clustering results may be affected and more repetitive computations are required. To compensate the effect of random initial centroids on results, this study proposed a hybrid optimization algorithm－Genetic Immune Fuzzy C-means Algorithm (GIFA). This algorithm first obtains the proper initial cluster centroids and then cluster data to improve

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Chang, Chen-Yi, and 張陳益. "Adaptive Indoor Radiomap Localization using Hybrid Clustering-based Regression." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/huewev.

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碩士<br>國立交通大學<br>電信工程研究所<br>108<br>Location estimation has received extensive attention in the view of the emerging demand for Location-Based Service (LBS) in indoor environments. WiFi fingerprinting is the most commonly used technique for its simple implementation and its ability to provide networking service. However, timevarying factors such as human effect and unstable received signal strength (RSS) from Access Points (APs) limit the performance of indoor LBS. Besides, to collect a suitable number and physical locations of Reference Points (RPs) is time-consuming for the fingerprinting syst

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Ping-Hsun, Hsieh. "DESIGN OF HYBRID- CLUSTERING ALGORITHM FOR LOW POWER SCAN CHAINS." 2005. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2206200514134900.

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Jhang, Min-cin, and 張敏勤. "Using a New Hybrid Genetic Algorithm to the Clustering Problem." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/07273402528108736065.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>94<br>Clustering in data mining is very useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based similarity measure in order to partition the database such that data points in the same partition are more similar than points in different partitions. In this paper, we proposed a new clustering algorithm which inherited Hybrid K-medoid Algorithm (H.K.A). H.K.A consisted of the combination of genetic algorithm and traditional clustering algorithm such that it was able to solving the clustering problem.

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Cheng, Hung-Lien, and 程閎廉. "A Hybrid Collaborative Filtering Recommender System Based on Clustering Algorithm." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/52770657142827560926.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>98<br>Collaborative recommender is one of the most popular recommendation techniques. Traditional collaborative filtering approach mainly employs a matrix of user’s ratings on items to calculate the similarity between users. If the features of users or items are provided in the data set in addition to the rating data, then those features can be used to improve the quality of recommendations. In this thesis, we proposed a hybrid recommender system based on clustering and collaborative filtering techniques. In the proposed system, items are clustered based on item f

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Hsieh, Ping-Hsun, and 謝秉勳. "DESIGN OF HYBRID- CLUSTERING ALGORITHM FOR LOW POWER SCAN CHAINS." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/66667558325648869139.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>93<br>The use of scan-based architectures is wide-spreading in circuit testing processes nowadays, yet expensive in power consumption. Scan chain reordering techniques have been utilized for years to reduce power dissipation in traditional DfT (Design for Test); nevertheless, one of the main concerns, namely the length of scan routing, has received a plenty of attention for the reason of a tradeoff existing between power reduction and length reduction of wire connections. Hence, in this thesis, a hybrid clustering algorithm named ISAC (Intrinsic Structure Approximat

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Wang, Yu-shao, and 王欲韶. "Hybrid Swarm Intelligence Algorithms with Biodiversity Applied to Data Clustering." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/67637503971267115429.

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碩士<br>國立高雄第一科技大學<br>資訊管理研究所<br>100<br>This study proposes innovative hybrid models with diversity both in the subpopulations and in the structure of hybridization to prevent from early convergence in the computing process. Several models with different levels of biodiversity were implemented and compared in this study via the combination of swarm intelligence algorithms as well as genetic algorithms. The proposed hybrid models were applied to data clustering using the UCI public datasets. Experimental results show that the proposed hybrid systems with high biodiversity improve the performance

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