Relevant bibliographies by topics / Product Clustering

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Product Clustering'

Author: Grafiati
Published: 18 April 2022
Last updated: 30 July 2025

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Journal articles on the topic "Product Clustering"

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Pepall, Lynne. "Market Demand and Product Clustering." Economic Journal 100, no. 399 (1990): 195. http://dx.doi.org/10.2307/2233603.

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Zhang, Lei, Zhi Feng Liu, and Hong Bao. "Customer Clustering for Product Green Design." Applied Mechanics and Materials 130-134 (October 2011): 3763–66. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3763.

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The characteristic of product’s life-cycle customer environment requirements is analyzed. A customer clustering methode for green design is proposed. Conjoint analysis method is used to obtain individual customer’s environment requirements and system-clustering method is used to cluster customers in accordance with their environment requirements preference. Green product customer clustering is realized. Thus, successive development of green product can be supported. Green design oriented customer clustering of soybean milk maker is illustrated to exemplify the method.
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Astuti, Rini, Nining Rahaningsih, Umi Hayati, Cep Lukman Rohmat, and Nana Suarna. "Implementation of Fuzzy C-Means Algorithm with Optimized Parameter Grid for Clustering Electronic Product Sales." East Asian Journal of Multidisciplinary Research 2, no. 4 (2023): 1647–60. http://dx.doi.org/10.55927/eajmr.v2i4.3929.

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The sales of electronic products have increased rapidly over the past few years. However, grouping products based on certain criteria is still an unresolved issue. Therefore, research is needed to develop more accurate clustering methods. Currently, the problem with electronic product clustering using the k-means method still has limitations, such as sensitivity to initial centroid values and inability to handle overlap between clusters. Therefore, research is needed to optimize the grid parameter of the Fuzzy C-Means algorithm to produce more accurate clustering. The purpose of this study is
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Chukhray, Nataliya, Kateryna Yarmola, and Andrii Chukhrai. "Tourism product consumers clustering for developing the tailored marketing mix." Innovative Marketing 21, no. 1 (2025): 281–95. https://doi.org/10.21511/im.21(1).2025.23.

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The constant change in consumer preferences requires adjusting sales strategies according to the consumer’s current needs. The study aims to cluster the consumers of tourism products based on the factors influencing their decision-making process when choosing tourism products and to classify them according to the marketing mix. The study is based on the analysis of data from 196 respondents in the Lviv region, collected through an online survey using Google Forms in the first decade of 2023. The sample is representative, as it was calculated considering the population of the Lviv region aged 1
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Quintana, Fernando A., and Pilar L. Iglesias. "Bayesian clustering and product partition models." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 65, no. 2 (2003): 557–74. http://dx.doi.org/10.1111/1467-9868.00402.

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Gao, Fei, Gang Xiao, and Jiu-jun Chen. "Product interface reengineering using fuzzy clustering." Computer-Aided Design 40, no. 4 (2008): 439–46. http://dx.doi.org/10.1016/j.cad.2007.12.003.

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Mehlstäubl, Jan, Christoph Pfeiffer, Ralf Kraul, Felix Braun, and Kristin Paetzold-Byhain. "METHODICAL APPROACH TO CLUSTER CONFIGURATIONS OF PRODUCT VARIANTS OF COMPLEX PRODUCT PORTFOLIOS." Proceedings of the Design Society 3 (June 19, 2023): 2645–54. http://dx.doi.org/10.1017/pds.2023.265.

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AbstractCompanies are increasingly struggling to manage their complex product portfolios. Since they do not fully understand the complexity, intelligent solutions are required. Emerging technologies and tools offer new ways to deal with existing problems. With the help of clustering, similarities between product variants can be identified automatically, and complexity can be systematically reduced. This article aims to develop a methodological approach to identify correlations between product variants in complex product portfolios automatically by using clustering algorithms. The approach incl
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Wallstrom, Garrick L., and William R. Hogan. "Unsupervised clustering of over-the-counter healthcare products into product categories." Journal of Biomedical Informatics 40, no. 6 (2007): 642–48. http://dx.doi.org/10.1016/j.jbi.2007.03.008.

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Diwangkara, Taufaldisatya Wijatama, Ulfi Saidata Aesyi, and Netania Indi Kusumaningtyas. "Rekomendasi Posting Promosi pada Sosial Media Berdasarkan Pengelompokan Hasil Penjualan Produk (Studi Kasus: Maula Hijab)." Teknomatika: Jurnal Informatika dan Komputer 14, no. 2 (2021): 76–85. http://dx.doi.org/10.30989/teknomatika.v14i2.1096.

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Maula Hijab is an MSME (Small and Micro Medium Enterprises) located in Sidomoyo, Godean District, Sleman Regency, Yogyakarta Special Region Province that sells Muslim clothing products. Maula Hijab sells its products directly and through marketplace platforms such as Shopee, Lazada, and Tokopedia. In addition, Maula Hijab promotes its products through social media, one of which is Instagram. Social media is used to promote Maula Hijab products, but there is a decrease in the number of viewers reached by the Maula Hijab Instagram account. In addition, a decline in sales of Maula Hijab was found
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Zhang, Na, Wei Xu, and Yong Tan. "Multi-attribute hierarchical clustering for product family division of customized wooden doors." BioResources 18, no. 4 (2023): 7889–904. http://dx.doi.org/10.15376/biores.18.4.7889-7904.

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To improve the production system for customized wooden doors and to gain research and development efficiency, this paper proposed the feasibility of using hierarchical clustering algorithms to cluster a company’s customized wooden door products and its application to rational product family architecture. The particular use of multi-attribute feature data to locate products and the integration of image data into the database can make the original hierarchical clustering more compatible and adaptable for application to customized wooden doors. The preprocessed data was analyzed by clustering to
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Dissertations / Theses on the topic "Product Clustering"

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Tsuda, Koji. "Robust Clustering Algorithm by Inner Product Scaling." Kyoto University, 1998. http://hdl.handle.net/2433/157033.

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本文データは平成22年度国立国会図書館の学位論文(博士)のデジタル化実施により作成された画像ファイルを基にpdf変換したものである<br>Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(工学)<br>甲第7356号<br>工博第1731号<br>新制||工||1109(附属図書館)<br>UT51-98-G285<br>京都大学大学院工学研究科情報工学専攻<br>(主査)教授 美濃 導彦, 教授 池田 克夫, 教授 石田 亨<br>学位規則第4条第1項該当
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Sahin, Asli. "A Data Clustering Approach to Support Modular Product Family Design." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/29481.

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Product Platform Planning is an emerging philosophy that calls for the planned development of families of related products. It is markedly different from the traditional product development process and relatively new in engineering design. Product families and platforms can offer a multitude of benefits when applied successfully such as economies of scale from producing larger volumes of the same modules, lower design costs from not having to redesign similar subsystems, and many other advantages arising from the sharing of modules. While advances in this are promising, there still remain sign
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Orfi, Nihal Mohamed Sherif. "Harnessing Product Complexity: An Integrative Approach." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77292.

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In today's market, companies are faced with pressure to increase variety in product offerings. While increasing variety can help increase market share and sales growth, the costs of doing so can be significant. Ultimately, variety causes complexity in products and processes to soar, which negatively impacts product development, quality, production scheduling, efficiency and more. Product variety is just one common cause of product complexity, a topic that several researchers have tackled with several sources of product complexity now identified. However, even with such progress, product comple
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Börjesson, Fredrik. "Approaches to Modularity in Product Architecture." Licentiate thesis, KTH, Maskinelement, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-96491.

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Modular product architecture is characterized by the existence of standardized interfaces between the physical building blocks. A module is a collection of technical solutions that perform a function, with interfaces selected for company-specific strategic reasons. Approaches to modularity are the structured methods by which modular product architectures are derived. The approaches include Modular Function Deployment (MFD), Design Structure Matrix (DSM), Function Structure Heuristics and many other, including hybrids. The thesis includes a survey of relevant theory and a discussion of four cha
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Furuhashi, Takeshi, Tomohiro Yoshikawa, Kanta Tachibana, and Minh Tuan Pham. "A Clustering Method for Geometric Data based on Approximation using Conformal Geometric Algebra." IEEE, 2011. http://hdl.handle.net/2237/20706.

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Damineni, Sarath Chandra, and Sai Manikanta Munukoti. "Product Usage Data collection and Analysis in Lawn-mowers." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20658.

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Background: As the requirements for the modern-day comforts are raising from day to day, the great evolution in the field of lawn-mowers is recorded. This evolution made companies produce a fleet of lawn-mowers(commercial, house-hold) for different kinds of usages. Despite the great evolution and market in this field, to the best of our knowledge, no effort was made to understand customer usage by analysis of real-time usage of lawn-mowers. This research made an attempt to analyse the real-time usage of lawn-mowers using techniques like machine learning. Objectives: The main objective of the t
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Rahmani, Younes. "The Multi-product Location-Routing Problem with Pickup and Delivery." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0331/document.

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Dans les problèmes de localisation-routage classiques (LRP), il s'agit de combiner des décisions stratégiques liées aux choix des sites à ouvrir (centres de traitement) avec des décisions tactiques et opérationnelles liées à l'affectation des clients aux sites sélectionnés et a la confection des tournées associées. Cette thèse propose de nouveaux modèles de localisation-routage permettant de résoudre des problématiques issues de réseaux logistiques, devenus aujourd'hui de plus en plus complexes vu la nécessité de mutualisation de ressources pour intégrer des contraintes de développement durabl
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Jiao, Jian. "A framework for finding and summarizing product defects, and ranking helpful threads from online customer forums through machine learning." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/23159.

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The Internet has revolutionized the way users share and acquire knowledge. As important and popular Web-based applications, online discussion forums provide interactive platforms for users to exchange information and report problems. With the rapid growth of social networks and an ever increasing number of Internet users, online forums have accumulated a huge amount of valuable user-generated data and have accordingly become a major information source for business intelligence. This study focuses specifically on product defects, which are one of the central concerns of manufacturing companies
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Tavassoli, Mohammad hosein. "Exploring the Critical Success Factors of Industrial Clustering; SMIL as an illustrative case study." Thesis, Linköping University, Department of Management and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-53706.

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<p>“Industrial cluster” is one type of agglomeration and the concept has been increasingly used and recognized as an essential part of regional development strategies and thinking in recent years. However, there has <em>not</em> been an explicit collection-work devoted to exploring the <strong>Critical Success Factors</strong> (CSFs). So, this thesis aims to explore such CSFs based on literature review as well as illustrative case study.</p><p>The major finding of this thesis is exploration of 18 (possible) CSFs based on extensive literature review and grouping them into 5 success categories (
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Zeng, Kaiman. "Next Generation of Product Search and Discovery." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2312.

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Online shopping has become an important part of people’s daily life with the rapid development of e-commerce. In some domains such as books, electronics, and CD/DVDs, online shopping has surpassed or even replaced the traditional shopping method. Compared with traditional retailing, e-commerce is information intensive. One of the key factors to succeed in e-business is how to facilitate the consumers’ approaches to discover a product. Conventionally a product search engine based on a keyword search or category browser is provided to help users find the product information they need. The genera
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Books on the topic "Product Clustering"

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Bonnay, Denis. A Clustering-Based Approach to Collective Beliefs. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190680534.003.0008.

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In this chapter, I argue in favor of a new approach to collective beliefs in unorganized groups, in terms of doxastic clustering. When a group does not have dedicated mechanisms for production of collective beliefs, and when individual beliefs of members of the group are diverse, it does not make much sense to attribute to the group some average beliefs or any other kind of collective beliefs produced by aggregating individual beliefs. Rather, beliefs are meaningfully attributed to coherent subgroups of individuals who share similar opinions. In this case, attribution of collective beliefs inv
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Jones, Geoffrey. Corporate Environmentalism and the Boundaries of Sustainability. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198706977.003.0010.

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This chapter reviews the history of green entrepreneurship, arguing that green entrepreneurship was shaped by four different temporal contexts between the mid-nineteenth century and the present day. Although there were significant achievements over the entire period, it was only in the most recent era that green business achieved legitimacy and scale. Green entrepreneurs often had religious and ideological motivations, but they were shaped by their institutional and temporal context. They created new markets and categories through selling their ideas and products, and by imagining the meaning
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Wang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.

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The strongest Indian summer monsoon (ISM) on the planet features prolonged clustered spells of wet and dry conditions often lasting for two to three weeks, known as active and break monsoons. The active and break monsoons are attributed to a quasi-periodic intraseasonal oscillation (ISO), which is an extremely important form of the ISM variability bridging weather and climate variation. The ISO over India is part of the ISO in global tropics. The latter is one of the most important meteorological phenomena discovered during the 20th century (Madden &amp; Julian, 1971, 1972). The extreme dry an
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Book chapters on the topic "Product Clustering"

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Babuška, Robert. "Product-Space Clustering for Identification." In Fuzzy Modeling for Control. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-4868-9_4.

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Cao, Yujie, Minlie Huang, and Xiaoyan Zhu. "Clustering Sentiment Phrases in Product Reviews by Constrained Co-clustering." In Natural Language Processing and Chinese Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25207-0_7.

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Ye, Yang, and Qingpeng Zhang. "Product Clustering Analysis Based on the Retail Product Knowledge Graph." In Web and Big Data. APWeb-WAIM 2021 International Workshops. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-8143-1_4.

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Szilágyi, László. "Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition." In Fuzzy Sets, Rough Sets, Multisets and Clustering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47557-8_7.

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He, Yu, Jiaying Song, Yuzhuang Nan, and Guohong Fu. "Clustering Chinese Product Features with Multilevel Similarity." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25816-4_28.

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Sokol, Ondřej, Vladimír Holý, and Tomáš Cipra. "Customer and Product Clustering in Retail Business." In Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47124-8_43.

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Babuška, R., and H. B. Verbruggen. "Constructing Fuzzy Models by Product Space Clustering." In Fuzzy Model Identification. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60767-7_2.

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Holder, Christopher J., Boguslaw Obara, and Stephen Ricketts. "Visual Siamese Clustering for Cosmetic Product Recommendation." In Computer Vision – ACCV 2018 Workshops. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21074-8_40.

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Huang, Sheng, Zhendong Niu, and Yulong Shi. "Product Features Categorization Using Constrained Spectral Clustering." In Natural Language Processing and Information Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38824-8_26.

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Bishnu, Partha Sarathi, and Amit Dey Purkayastha. "From Data to Decisions: K-Means Clustering for Product Development and Marketing." In AI for Product Development. CRC Press, 2025. https://doi.org/10.1201/9781003536901-2.

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Conference papers on the topic "Product Clustering"

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Bryan, Daniel Alexander, Maria Susan Anggreainy, Devi Fitrianah, and Ajeng Wulandari. "Product Label Clustering Based on Search Keywords for Product Name Recommendations in Ecommerce." In 2024 5th International Conference on Artificial Intelligence and Data Sciences (AiDAS). IEEE, 2024. http://dx.doi.org/10.1109/aidas63860.2024.10730652.

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Fang, Yong, Menchita Dumlao, and Joey Aviles. "Personalized recommendation algorithm based on learning automata and product clustering." In 2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI). IEEE, 2024. http://dx.doi.org/10.1109/iotaai62601.2024.10692351.

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Marui, Yuta, Atsuko Mutoh, Kosuke Shima, Koichi Moriyama, Tohgoroh Matsui, and Nobuhiro Inuzuka. "Store Clustering Based on Product Genre Representation in POS Data." In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE). IEEE, 2024. https://doi.org/10.1109/gcce62371.2024.10760456.

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Kim, Taeyoung, Jihyun Lee, and Sungwon Kang. "Cloned Code Clustering for the Software Product Line Engineering Approach to Developing a Family of Products." In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00178.

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Wu, Guoyao, Zhiqiang Lan, Kun Zhou, et al. "Time-Series Adjusted FasterPAM Clustering of Enterprise Electricity Consumption Based on Autocorrelation Function." In 2024 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA). IEEE, 2024. http://dx.doi.org/10.1109/ispce-asia64773.2024.10756251.

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Rahmania, Rissa, Maria Susan Anggreainy, Iman Herwidiana Kartowisastro, and Widodo Budiharto. "Identification of Clustering Brisk Keypoint Feature in Grocery Product Using the Elbow Method." In 2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT). IEEE, 2024. http://dx.doi.org/10.1109/iaict62357.2024.10617640.

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Zhao, Yanwei, Huijun Tang, Nan Su, and Wanliang Wang. "Extension-Based Clustering Method: An Approach to Support Adaptable Design of the Product." In ASME 2007 International Manufacturing Science and Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/msec2007-31205.

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Design for product adaptability is one of the techniques used to provide customers with products that exactly meet their requirements. Clustering methods have been used extensively in the study of product adaptability design. Of the clustering methods, the fuzzy clustering method is the most widely in the design field. The three main kinds of fuzzy clustering methods are the transitive closure method, the dynamic direct method and the maximum tree method. The dynamic direct clustering method has been found to produce design solutions with the lowest cost. In this paper, a new approach for obta
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Sitte, Renate, Sima Dimitrijev, and H. Barry Harrison. "Dynamic design processing of integrated circuits for an "on target" end product." In Process Module Metrology, Control and Clustering, edited by Cecil J. Davis, Irving P. Herman, and Terry R. Turner. SPIE, 1992. http://dx.doi.org/10.1117/12.56624.

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Quan, Ning, and Harrison M. Kim. "A Functionally–Aware Product Schematic Clustering Algorithm." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71506.

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The formation of modules is an important step in establishing a product’s architecture. This paper proposes a clustering algorithm that creates functionally cohesive and loosely coupled modules in a product’s architecture. The algorithm seeks to group together product elements to form functionally similar and loosely-coupled modules. The algorithm also has the advantage of not requiring any user-defined starting parameters that are necessary in some other clustering algorithms. The proposed algorithm is demonstrated on a laser printer and the results are compared to the results from an existin
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Yu, Tian-Li, Ali A. Yassine, and David E. Goldberg. "A Genetic Algorithm for Developing Modular Product Architectures." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/dtm-48647.

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The architecture of a product is determined by both the elements that compose the product and the way in which they interact with each other. In this paper, we use the design structure matrix (DSM) as a tool to capture this architecture. Designing modular products can result in many benefits to both consumers and manufacturers. The development of modular products requires the identification of highly interactive groups of elements and arranging (i.e. clustering) them into modules. However, no rigorous DSM clustering technique can be found in product development literature. This paper presets a
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Reports on the topic "Product Clustering"

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Cernat, Alexandru, and Tarek Al Baghal. Analysing Survey Data with Weights and Complex Designs. Instats Inc., 2025. https://doi.org/10.61700/qhuifhyivca9h1474.

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This seminar provides a comprehensive introduction to analyzing survey data with weights and complex survey design, specifically focusing on handling stratification, clustering, and unequal selection probabilities using R. Participants will gain essential skills in applying statistical models and conducting data analyses, enhancing their capacity to produce methodologically robust research outcomes.
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Jones, Robert, Molly Creagar, Michael Musty, Randall Reynolds, Scott Slone та Robyn Barbato. A 𝘬-means analysis of the voltage response of a soil-based microbial fuel cell to an injected military-relevant compound (urea). Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45940.

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Biotechnology offers new ways to use biological processes as environmental sensors. For example, in soil microbial fuel cells (MFCs), soil electro-genic microorganisms are recruited to electrodes embedded in soil and produce electricity (measured by voltage) through the breakdown of substrate. Because the voltage produced by the electrogenic microbes is a function of their environment, we hypothesize that the voltage may change in a characteristic manner given environmental disturbances, such as the contamination by exogenous material, in a way that can be modelled and serve as a diagnostic. I
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Pulido-Mahecha, Karen L., Sergio Restrepo-Ángel, and Franky Juliano Galeano-Ramírez†. Measuring the Unmeasurable: Unraveling the complexities of real-time output gap estimation. Banco de la República, 2024. http://dx.doi.org/10.32468/be.1284.

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This paper evaluates seven output gap models for real-time estimates, based on three criteria: stability of estimations on new observations, data revisions and/or methodological changes; inflation forecasting accuracy; and potential output response to structural economic shocks. Results confirm no single model outperforms across all criteria. Structural VARs exhibit superior inflation forecasts but show high instability, while semi-structural models produce more theoretically consistent potential output responses. To overcome this trade-off, we propose a novel clustering approach to pool model
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Ross, Elizabeth, Gregory Pogue, Jill Engel-Cox, and Thushara Gunda. Community Archetypes in the Permian Basin and their Relationship to Energy Resources. Permian Energy Development Lab, 2024. http://dx.doi.org/10.70223/aftg267.

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The Permian Energy Development Lab (PEDL) is a new research coalition in West Texas and Southeastern New Mexico, managed by a consortium of higher education, public sector, civic, community, and philanthropic organizations . PEDL’s mission is to catalyze advanced energy research, prepare new energy professionals and entrepreneurs, and create value for energy communities. To meet the three parts of this mission, a comprehensive facts-based understanding of the diverse communities within the large Permian region, not relying on impressions or preconceptions, is essential. Therefore, this report
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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Butler, Bryan, Tom Barse, Nahla V. Bassil, and Kim Lewers. How we came to have the 'Monocacy' hop. Hop Growers of America, 2023. http://dx.doi.org/10.32747/2023.8127202.ars.

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The popularity of local craft beers in the US is growing, as is the desire for beers made with all-local ingredients. Maryland breweries have been able to use locally grown ingredients, including hops, but have not been able to claim use of a hop native to Maryland. 'Monocacy' hop was discovered in Maryland on a farm that was part of the original Carrollton Manor, once owned by Charles Carroll, a signer of the Declaration of Independence, in what was likely a cottage garden between the house and barn. Molecular fingerprinting established it as unique and clustering with hop accessions native t
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7

Bonnett, Michaela, Angela Ladetto, Meaghan Kennedy, Jasmine Fernandez, and Teri Garstka. Network Analysis of a Mobility Ecosystem in Detroit, MI. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hejw8941https://www.orangesparkleball.com/innovation-library-blog/2024/5/30/sunbelt2024-network-analysis-of-a-mobility-ecosystem-in-detroit-mi.

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Network Analysis of a Mobility Ecosystem in Detroit, MI Background As part of a new initiative from the Global Epicenter of Mobility (GEM), organizations across many sectors in Detroit, MI, and surrounding counties are collaboratively investing in transforming the local legacy mobility industry into an inclusive advanced mobility cluster over the next 3 years. At the start of this initiative, in partnership with the research team at the Detroit Regional Partnership, a social network analysis was conducted to map the relationship between the foundational 24 organizations, the greater coalition,
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Bonnett, Michaela, Angela Ladetto, Meaghan Kennedy, Jasmine Fernandez, and Teri Garstka. Network Analysis of a Mobility Ecosystem in Detroit, MI. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/hejw8941.

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Network Analysis of a Mobility Ecosystem in Detroit, MI Background As part of a new initiative from the Global Epicenter of Mobility (GEM), organizations across many sectors in Detroit, MI, and surrounding counties are collaboratively investing in transforming the local legacy mobility industry into an inclusive advanced mobility cluster over the next 3 years. At the start of this initiative, in partnership with the research team at the Detroit Regional Partnership, a social network analysis was conducted to map the relationship between the foundational 24 organizations, the greater coalition,
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9

Adriano, Karlo Fermin, and Lourdes Adriano. Is Agriculture and Fisheries Ascending the Value-Added Ladder? The State of Agricultural Value Chains in the Philippines. Philippine Institute for Development Studies, 2022. https://doi.org/10.62986/dp2022.18.

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The Agriculture and Fisheries Modernization Act (AFMA) was passed and implemented a quarter of a century ago. AFMA comprised a suite of policy, institutional, and investment measures that envisaged the transformation of the agriculture and fisheries sectors, from a resource-based to a technology-based industry. One aspect of the modernization process that the AFMA is aiming at and which is the focus of this study is the development of agro-based value chains that move up the value-added ladder ascendancy. This is done by examining AFMA and the agri-food value chain development and ascendancy i
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Ley, Matt, Tom Baldvins, David Jones, Hanna Pilkington, and Kelly Anderson. Vegetation classification and mapping: Gulf Islands National Seashore. National Park Service, 2023. http://dx.doi.org/10.36967/2299028.

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The Gulf Islands National Seashore (GUIS) vegetation inventory project classified and mapped vegetation on park-owned lands within the administrative boundary and estimated thematic map accuracy quantitatively. The project began in June 2016. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetin
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