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Relevant bibliographies by topics / Clusters detection / Dissertations / Theses

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Dissertations / Theses on the topic 'Clusters detection'

Author: Grafiati

Published: 15 June 2024

Last updated: 31 July 2025

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1

Farrens, S. "Optical detection of galaxy clusters." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1318077/.

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This thesis first presents a relatively straight forward approach for detecting galaxy clusters using spectroscopic data. A friend-of-friends algorithm based on that of Huchra & Geller (1982) is implemented with linking parameters that take into account selection effects on the the 2dF-SDSS and QSO (2SLAQ) Luminous Red Galaxy Survey (Cannon et al. 2006). The linking parameters are constrained using a mock halo catalogue. The galaxy groups and clusters found with this method have an average velocity dispersion of \sigma v = 467:97 kms-1 and an average size of R clt = 0:78 h-1Mpc. Cluster masses

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2

Mundnich, Batic Karel Bogomir. "Early detection of high volatility clusters using particle filters." Tesis, Universidad de Chile, 2013. http://www.repositorio.uchile.cl/handle/2250/115486.

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Ingeniero Civil Electricista<br>El presente trabajo explora y analiza el uso de herramientas de procesamiento de señales que son comunes en áreas de Ingeniería Eléctrica y Pronóstico y Gestión de Salud en el análisis de series de tiempo financieras. El objetivo principal de este trabajo es detectar eventos de alto riesgo en una etapa temprana. De esta forma, el algoritmo propuesto emplea la fuerte relación entre volatilidad y riesgo y detecta clusters de alta volatilidad mediante el uso de la información obtenida de los procesos de estimación a través de Filtro de Partículas. Para

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3

Crawford, Carolin Susan. "The detection of distant cooling flows." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293490.

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4

McLoughlin, Kirstin J. "Computer aided detection of microcalcification clusters in digital mammogram images." Thesis, University of Canterbury. Electrical and Computer Engineering, 2004. http://hdl.handle.net/10092/6536.

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Recent advancements in computer technology have ensured that early detection of breast cancer, via computer aided detection (CAD) schemes, has become a rapidly expanding field of research. There is a desire to improve the detection accuracy of breast cancer without increasing the number of falsely identified cancers. The CAD scheme considered here is intended to assist radiologists in the detection of micro calcification clusters, providing a real contribution to the mammography screening process. Factors that affect the detection accuracy of micro calcifications in digital mammograms include

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Forsberg, Viktor. "AUTOMATIC ANOMALY DETECTION AND ROOT CAUSE ANALYSIS FOR MICROSERVICE CLUSTERS." Thesis, Umeå universitet, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-164740.

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Large microservice clusters deployed in the cloud can be very difficult to both monitor and debug. Monitoring theses clusters is a first step towards detection of anomalies, deviations from normal behaviour. Anomalies are often indicators that a component is failing or is about to fail and should hence be detected as soon as possible. There are often lots of metrics available to view. Furthermore, any errors that occur often propagate to other microservices making it hard to manually locate the root cause of an anomaly, because of this automatic methods are needed to detect and correct t

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6

Burato, Dario <1993&gt. "Load balancing and fault early detection for Apache Kafka clusters." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/15159.

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Apache Kafka is a publish-subscribe message system, producers publish data to a cluster and clients subscribes to receive data. The messages are sent by their producers and stored in partitions, the load balancing is performed thanks to their distribution between the cluster's nodes. The component which assign a message to a partition is called partitioner, located inside every producer. When partitions lacks intrinsic meaning, and are used purely for load-balancing purposes, the default partitioners available with Apache Kafka aim only to get the same amount of messages shared between part

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Toni, Greta. "Detection and characterization of galaxy clusters in the COSMOS field with the AMICO algorithm." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25229/.

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In this work we made use of the AMICO algorithm to detect clusters in COSMOS2015, a photometric galaxy catalogue of the COSMOS field (Laigle+16). We divided our study in two different analyses being the cluster search on r-band photometry in the range 0<z<1.25 and on the H-band photometry in the range 0<z< 1.8. We detected a total number of 481 clusters over the COSMOS field area. We also identified the cluster member galaxies by assigning them a probabilistic membership. During the cluster search we introduced some new methods within AMICO, to allow its application on new kinds of data-sets.

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8

Marshall, J. Brooke. "Prospective Spatio-Temporal Surveillance Methods for the Detection of Disease Clusters." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/29639.

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In epidemiology it is often useful to monitor disease occurrences prospectively to determine the location and time when clusters of disease are forming. This aids in the prevention of illness and injury of the public and is the reason spatio-temporal disease surveillance methods are implemented. Care must be taken in the design and implementation of these types of surveillance methods so that the methods provide accurate information on the development of clusters. Here two spatio-temporal methods for prospective disease surveillance are considered. These include the local Knox monitoring metho

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9

Moreira, Gladston Juliano Prates. "The detection of spatial clusters: graph and dynamic programming based methods." Universidade Federal de Minas Gerais, 2011. http://hdl.handle.net/1843/BUOS-8MCG9A.

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This thesis addresses the spatial and space-time cluster detection problem. Two algorithms to solve the typical problem for spatial data sets are proposed. A fast method for the detection and inference of point data set spatial and space-time disease clusters is presented, the Voronoi Based Scan (VBScan). A Voronoi diagram is built for points representing population individuals (cases and controls). The number of Voronoi cells boundaries intercepted by the line segment joining two cases points defines the Voronoi distance between those points. This distance is used to approximate the density o

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10

Oliveira, Fernando Luiz Pereira de. "Nonparametric intensity bounds for the detection and delineation of spatial clusters." Universidade Federal de Minas Gerais, 2011. http://hdl.handle.net/1843/ICED-8GQJAE.

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There is considerable uncertainty in the disease rate estimation for aggregated area maps, especially for small population areas. As a consequence the delineation of local clustering is subject to substantial variation. Consider the most likely disease cluster produced by any given method, like SaTScan Kulldorff [2006], for the detection and inference of spatial clusters in a map divided into areas; if this cluster is found to be statistically signifcant, what could be said of the external areas adjacent to the cluster? Do we have enough information to exclude them from a health program of pre

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11

Kratsas, Sherry L. "Parallelization of ECG template-based abnormality detection." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1697.

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Thesis (M.S.)--West Virginia University, 2000.<br>Title from document title page. Document formatted into pages; contains vii, 62 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 61-62).

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12

Terrell, Thomas. "Structural health monitoring for damage detection using wired and wireless sensor clusters." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5055.

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Sensing and analysis of a structure for the purpose of detecting, tracking, and evaluating damage and deterioration, during both regular operation and extreme events, is referred to as Structural Health Monitoring (SHM). SHM is a multi-disciplinary field, with a complete system incorporating sensing technology, hardware, signal processing, networking, data analysis, and management for interpretation and decision making. However, many of these processes and subsequent integration into a practical SHM framework are in need of development. In this study, various components of an SHM system will b

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13

Galeazzi, Alessandro. "Opinion Mining and Clusters Detection in Online Public Debates: a Quantitative Analysis." Doctoral thesis, Università degli studi di Brescia, 2022. http://hdl.handle.net/11379/555016.

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La nascita di piattaforme online tramite cui condividere informazioni con una platea virtualmente illimitata ha radicalmente cambiato il modo di comunicare. Attraverso i social media, chiunque è in grado di creare contenuti che non solo sono fruiti quasi in tempo reale da migliaia di utenti, ma che, grazie alle funzioni offerte dalle varie piattaforme online, possono ottenere un feedback immediato tramite commenti e reazioni. Questa modalità di comunicazione veloce e disintermediata, da un lato, fornisce il mezzo perfetto per la proliferazione di dibattiti su temi controversi, dall'altro, graz

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14

Tembey, Mugdha. "Computer-Aided Diagnosis for Mammographic Microcalcification Clusters." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000168.

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15

More, Surhud, Hironao Miyatake, Masahiro Takada, et al. "DETECTION OF THE SPLASHBACK RADIUS AND HALO ASSEMBLY BIAS OF MASSIVE GALAXY CLUSTERS." IOP PUBLISHING LTD, 2016. http://hdl.handle.net/10150/621397.

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We show that the projected number density profiles of Sloan Digital Sky Survey photometric galaxies around galaxy clusters display strong evidence for the splashback radius, a sharp halo edge corresponding to the location of the first orbital apocenter of satellite galaxies after their infall. We split the clusters into two subsamples with different mean projected radial distances of their members, < R-mem >, at fixed richness and redshift. The sample with smaller < R-mem > has a smaller ratio of the splashback radius to the traditional halo boundary R-200m than the subsample with larger < R-m

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Yam, Margaret. "Detection and analysis of microcalcification clusters in X-ray mammograms using the h_i_n_t representation." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409946.

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17

Bhowmik, Kowshik. "Comparing Communities & User Clusters in Twitter Network Data." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1573223960589.

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18

Tärning, Jacob. "Troll Detection : A study of source usage between clusters of Twitter tweets todetect Internet trolls." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209436.

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The purpose of this study was to examine whether it is possible to detect possibly malicioustweets posted by so-called trolls by inspecting the usage of sources such as url links,hashtags, user mentions and other media between clusters of tweets. This was done byutilizing the latent dirichlet allocation algorithm to find and assign topics to every tweet,clustering the tweets through their topics with the k-means algorithm. The resulting clusterswas iterated through and data fetch and summarized to examine any difference between theclusters. The results suggest that this method for finding trol

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Cassa, Christopher A. "Spatial outbreak detection analysis tool : a system to create sets of semi-synthetic geo-spatial clusters." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/33124.

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Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.<br>Includes bibliographical references (leaves 55-57).<br>Syndromic surveillance systems, especially software systems, have emerged as the leading outbreak detection mechanisms. Early outbreak detection systems can assist with medical and logistic decision support. One important concern for effectively testing these systems in practice is the scarcity of authentic outbreak health data. Because of this shortage, creating suitable geotemporal test clusters for surveillanc

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20

Panebianco, Gabriele. "A new implementation of an optimal filter for the detection of galaxy clusters through weak lensing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24444/.

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We developed a new version of a C++ code, Get the Halo 2021, that implements the optimal linear matched filter presented in Maturi et al.(2005). Our aim is to detect dark matter haloes of clusters of galaxies through their weak gravitational lensing signatures applying the filter to a catalogue of simulated galaxy ellipticities. The dataset represents typical data that will be available thanks to the Euclid mission, thus we are able to forecast the filter performances on weak lensing data obtained by Euclid. The linear matched filter is optimised to maximise the signal-to-noise ratio (S/N) of

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Castro, Ginard Alfred. "Detection, characterisation and use of open clusters in a Galactic context in a Big Data environment." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/671790.

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Open clusters are groups of stars, gravitationally bound together, that were born from the same molecular cloud and, thus, share similar positions, kinematics, ages and metallicities. Traditional methods to detect open clusters rely in the visual inspection of regions of the sky to look for positional overdensities of stars, which then are checked to follow an isochrone pattern in a colour-magnitude diagram. The publication of the second Gaia data release, with more than 1.3 billion stars with parallax and proper motion measurements together with mean photometry in three broadbands, boosted t

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Evanko, Liberty Rae. "Development of an H alpha index for the detection of PMS candidates in young open clusters /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1715.pdf.

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23

Soergel, B., S. Flender, K. T. Story, et al. "Detection of the kinematic Sunyaev–Zel'dovich effect with DES Year 1 and SPT." OXFORD UNIV PRESS, 2016. http://hdl.handle.net/10150/621727.

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We detect the kinematic Sunyaev-Zel'dovich (kSZ) effect with a statistical significance of 4.2 sigma by combining a cluster catalogue derived from the first year data of the Dark Energy Survey with cosmic microwave background temperature maps from the South Pole Telescope Sunyaev-Zel'dovich Survey. This measurement is performed with a differential statistic that isolates the pairwise kSZ signal, providing the first detection of the large-scale, pairwise motion of clusters using redshifts derived from photometric data. By fitting the pairwise kSZ signal to a theoretical template, we measure the

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Dupree, A. K., A. Dotter, C. I. Johnson, et al. "NGC 1866: First Spectroscopic Detection of Fast-rotating Stars in a Young LMC Cluster." IOP PUBLISHING LTD, 2017. http://hdl.handle.net/10150/625815.

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High-resolution spectroscopic observations were taken of 29 extended main-sequence turnoff (eMSTO) stars in the young (similar to 200 Myr) Large Magellanic Cloud (LMC) cluster, NGC 1866, using the Michigan/Magellan Fiber System and MSpec spectrograph on the Magellan-Clay 6.5 m telescope. These spectra reveal the first direct detection of rapidly rotating stars whose presence has only been inferred from photometric studies. The eMSTO stars exhibit Ha emission (indicative of Be-star decretion disks), others have shallow broad H alpha absorption (consistent with rotation. greater than or similar

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Ramos, Ceja Miriam Elizabeth [Verfasser]. "Studying galaxy clusters through X-rays and the Sunyaev-Zel'dovich effect: simulations, detection and characterisation / Miriam Elizabeth Ramos Ceja." Bonn : Universitäts- und Landesbibliothek Bonn, 2016. http://d-nb.info/1113688289/34.

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JUNIOR, MARCOS PAULINO RORIZ. "DG2CEP: AN ON-LINE ALGORITHM FOR REAL-TIME DETECTION OF SPATIAL CLUSTERS FROM LARGE DATA STREAMS THROUGH COMPLEX EVENT PROCESSING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30249@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO<br>BOLSA NOTA 10<br>Clusters (ou concentrações) de objetos móveis, como veículos e seres humanos, é um padrão de mobilidade relevante para muitas aplicações. Uma detecção rápida deste padrão e de sua evolução, por exemplo, se o cluster está encolhendo ou crescendo, é útil em vários cenários, como detectar a formação de engarrafamentos ou detectar uma rápida dispersão de pessoas em um show de música. A detecção on-line de

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Júnior, Evanivaldo Castro Silva. "Modelo de processamento de imagens mamográficas para detecção de agrupamentos de microcalcificações." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-06052009-095239/.

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O objetivo principal deste projeto foi desenvolver um modelo para a detecção de clusters de microcalcificações para o processamento de imagens mamográficas inteiras. O modelo foi subdividido em três etapas sendo na primeira realizado um pré-processamento para a melhoria da qualidade das imagens mamográficas no que se refere à remoção de ruídos e alargamento de contraste. Na segunda etapa do processamento, um conjunto de algoritmos foi aplicado visando-se a detecção propriamente dita de regiões de interesse nas imagens as quais possivelmente representariam os agrupamentos de microcalcificações.

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Matzinger, (geb Jandrasits) Christine [Verfasser]. "Computational Pan-genomics for Detection of Transmission Clusters in Molecular Surveillance with Application in the Epidemiology of Tuberculosis / Christine Matzinger (geb.Jandrasits)." Berlin : Freie Universität Berlin, 2019. http://d-nb.info/1202041744/34.

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Aros, Pinochet Francisco Ignacio [Verfasser], and de Ven Glenn [Akademischer Betreuer] van. "Towards a robust detection of intermediate-mass black holes in globular clusters. / Francisco Ignacio Aros Pinochet ; Betreuer: Glenn van de Ven." Heidelberg : Universitätsbibliothek Heidelberg, 2021. http://d-nb.info/1237270847/34.

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30

With, Meike de. "Search for neutrinos from annihilating dark matter in galaxies and galaxy clusters with the IceCube detector." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19462.

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In dieser Dissertation werden Daten aus drei Jahren vom vollständig fertiggestellten IceCube-Detektor benutzt um nach Neutrinos zu suchen, die in Dunkle-Materie-Annihilationen in fünf nahegelegen Zwerggalaxien, der M31 Galaxie und dem Virgo Galaxienhaufen produziert wurden. Um die Messung durchzuführen, wurde zunächst eine Ereignis-Selektion angewandt, die es ermöglicht, die von aus der Atmosphäre stammenden Teilchen dominierte Rate der Ereignisse von zirka 100 Hz auf 0.5 mHz zu reduzieren. Danach wird eine Maximum-Likelihood-Schätzer eingesetzt um zu bestimmen ob es ein Überschuss von Neutri

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Hofmann, Florian [Verfasser], and Kirpal [Akademischer Betreuer] Nandra. "Turbulence and direct dark matter detection in the X-ray halo of galaxy clusters : implications for eROSITA / Florian Hofmann ; Betreuer: Kirpal Nandra." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2016. http://d-nb.info/1120302129/34.

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32

Guttmann, Aline. "Evaluation des méthodes statistiques en épidémiologie spatiale : cas des méthodes locales de détection d'agrégats." Thesis, Clermont-Ferrand 1, 2014. http://www.theses.fr/2014CLF1MM21/document.

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L'évaluation des performances des méthodes de détection d'agrégats de maladie est fondamentale dans le domaine de l'épidémiologie spatiale et, paradoxalement, on déplore une absence de consensus quant à sa conduite. Cette problématique est d'autant plus importante que les nouvelles technologies de partage d'informations promettent une évolution importante des signaux disponibles pour l'épidémiologie et la veille sanitaire. Les spécialistes du domaine ont adopté un mode d'évaluation fondé sur l'utilisation concomitante de plusieurs indicateurs de performances complémentaires tels que des indica

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Wen, Shihua. "Semiparametric cluster detection." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7204.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Mathematical Statistics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Hill, Evelyn June. "Applying statistical and syntactic pattern recognition techniques to the detection of fish in digital images." University of Western Australia. School of Mathematics and Statistics, 2004. http://theses.library.uwa.edu.au/adt-WU2004.0070.

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This study is an attempt to simulate aspects of human visual perception by automating the detection of specific types of objects in digital images. The success of the methods attempted here was measured by how well results of experiments corresponded to what a typical human’s assessment of the data might be. The subject of the study was images of live fish taken underwater by digital video or digital still cameras. It is desirable to be able to automate the processing of such data for efficient stock assessment for fisheries management. In this study some well known statistical pattern classif

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Engelin, Martin, and Silva Felix De. "Troll detection : A comparative study in detecting troll farms on Twitter using cluster analysis." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186406.

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The purpose of this research is to test whether clustering algorithmscan be used to detect troll farms in social networks. Troll farms are profes-sional organizations that spread disinformation online via fake personas.The research involves a comparative study of two different clustering algo-rithms and a dataset of Twitter users and posts that includes a fabricatedtroll farm. By comparing the results and the implementations of the K-means as well as the DBSCAN algorithm we have concluded that clusteranalysis can be used to detect troll farms and that DBSCAN is bettersuited for this particular

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Sreenivasulu, Ajay. "Evaluation of cluster based Anomaly detection." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18053.

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Anomaly detection has been widely researched and used in various application domains such as network intrusion, military, and finance, etc. Anomalies can be defined as an unusual behavior that differs from the expected normal behavior. This thesis focuses on evaluating the performance of different clustering algorithms namely k-Means, DBSCAN, and OPTICS as an anomaly detector. The data is generated using the MixSim package available in R. The algorithms were tested on different cluster overlap and dimensions. Evaluation metrics such as Recall, precision, and F1 Score were used to analyze the p

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Mazumdar, Soumya. "Shape and scale in detecting disease clusters." Diss., University of Iowa, 2008. https://ir.uiowa.edu/etd/208.

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This dissertation offers a new cluster detection method. This method looks at the cluster detection problem from a new perspective. I change the question of "What do real clusters look like?" to the question of "What do spurious clusters look like?" and "How do spurious clusters affect the ability to recover real clusters?" Spurious clusters can be identified from their geographical characteristics. These are related to the spatial distribution of people at risk, the shape and scale of the geographic units used to aggregate these people, the shape and scale of the spatial configurations that t

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Soon, Shih Chung. "On detection of extreme data points in cluster analysis." Connect to resource, 1987. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262886219.

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Alodat, Moh'd. "Detecting conjunctions using cluster volumes." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84981.

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In brain mapping, the regions of the brain that are 'activated' by a task or external stimulus are detected by thresholding an image of test statistics. Often the experiment is repeated on several different subjects or for several different stimuli on the same subject, and the researcher is interested in the common points in the brain where 'activation' occurs in all test statistic images. The conjunction is thus defined as those points in the brain that show 'activation' in all images. We are interested in which parts of the conjunction are noise, and which show true activation in all

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Svedberg, Oskar. "Automatic detection of ULF waves in Cluster data." Thesis, KTH, Rymd- och plasmafysik, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91550.

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Bozkus, Nebahat. "Cluster detection by lifting with application to phylogenetics." Thesis, University of Leeds, 2018. http://etheses.whiterose.ac.uk/21300/.

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In this thesis, we propose a new algorithm which automatically detects the number of clusters in a tree structure data set by denoising some generalized node values in the tree using lifting “one coefficient at a time” (LOCAAT) algorithm introduced by Jansen et al. (2001). Our algorithm can be applied to any multidimensional data set using compactness value as a node value or to phylogenetic data sets, DNA sequences, using either compactness value or dissimilarity score as a node value. Compactness value is defined as the average distance from the centroid of each possible cluster in the tree,

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Licitra, Rossella. "Galaxy cluster detection with optical and infrared imaging." Paris 7, 2014. http://www.theses.fr/2014PA077149.

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En tant que structures gravitationnellement liées les plus massives, les amas de galaxies permettent de poser des contraintes fortes sur les structures à grande échelle prédites par le modèle cosmologique standard. Ils permettent aussi de comprendre l'influence de l'environnement sur l'évolution des galaxies. Pour mener ce type d'étude et obtenir des résultats robustes, il est impératif de construire des catalogues d'amas complets et purs. Dans le présent manuscrit, je décris l'algorithme de détection d'amas que j'ai développé lors de ma thèse de doctorat -Red GOLD ainsi que les résultats que

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Bigdeli, Elnaz. "Incremental Anomaly Detection Using Two-Layer Cluster-based Structure." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34299.

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Anomaly detection algorithms face several challenges, including processing speed and dealing with noise in data. In this thesis, a two-layer cluster- based anomaly detection structure is presented which is fast, noise-resilient and incremental. In this structure, each normal pattern is considered as a cluster, and each cluster is represented using a Gaussian Mixture Model (GMM). Then, new instances are presented to the GMM to be labeled as normal or abnormal. The proposed structure comprises three main steps. In the first step, the data are clustered. The second step is to repr

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Schäfer, Björn Malte. "Methods for detecting and characterising clusters of galaxies." Diss., lmu, 2005. http://nbn-resolving.de/urn:nbn:de:bvb:19-40652.

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Brolin, Morgan, and Erik Ledin. "Detecting trolls on twitterthrough cluster analysis." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208354.

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The social media platform Twitter is designed to allow users to efficiently spread informationthrough short messages that are broadcast to the world. The efficient way to spreadinformation that is in no way controlled or edited brings inherent problems with the spreadingof misinformation and other malicious activity as it can often be very difficult to establishwhat information can be considered reliable. This study seeks to showcase these problemsas well as find out whether it is possible to identify these malicious users by filtering tweetsby keywords, clustering the tweets based on similari

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Schmidt, Thomas. "Efficient algorithms for gene cluster detection in prokaryotic genomes." [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=976473356.

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Dodoo, Nii Lartey 1977. "Selecting predicates for conditional invariant detection using cluster analysis." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/87425.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.<br>Includes bibliographical references (p. 59-61).<br>by Nii Lartey Dodoo.<br>M.Eng.

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Liu, Zhen. "A lightweight intrusion detection system for the cluster environment." Master's thesis, Mississippi State : Mississippi State University, 2003. http://sun.library.msstate.edu/ETD-db/theses/available/etd-07102003-152642/unrestricted/ZhenLiu%5Fthesis.pdf.

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Buttery, H. J. "New methods for detecting high-redshift clusters of galaxies." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597196.

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The detection of high-redshift clusters of galaxies is important in under-standing the evolution of our Universe. Computer simulations, assuming hierarchical structure formation within a Ω<sub>λ</sub> » 0.7, Ω<i><sub>M</sub></i> » 0.3 universe, predict the galaxy clusters should be detected out to redshifts of z = 1. Traditional methods for finding clusters of galaxies, for example using optical plates, are not well to cluster detection beyond a redshift of z = 0.3, because they suffer from contamination of foreground sources. A new method of searching for galaxy clusters has been devised. It

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Cau, Massimo <1968&gt. "New detections and statistics of diffuse radio sources in galaxy clusters." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/9066/1/Cau_Massimo_tesi.pdf.

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Galaxy clusters are the largest gravitationally bound structures of the Universe, formed from density fluctuations and grown hierarchically through the extreme process of merging and mass accretion. They represent very interesting tools to study the cosmology and the evolution of large scale structures. Synchrotron non-thermal emission detected in the forms of radio halos, relics and minihalos according to their morphology, size and location is linked to the different dynamical state of the hosting clusters. Halos and relics are detected in clusters characterized by a strong merger activity an

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