Search Results - "Automatic clustering algorithm"
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1
Authors: et al.
Source: GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. :1931-1936
Subject Terms: automatic clustering, human mental search, image segmentation, optimisation, population-based algorithms, Evolutionary algorithms, Optimization, Automatic clustering algorithm, Conventional algorithms, K-means, Local optima, Meta heuristic algorithm, Number of clusters, Optimisation problems, Population-based algorithm, K-means clustering
File Description: print
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Source: Expert Systems with Applications. 36:792-803
Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, Relational database, 02 engineering and technology, Null value, Cluster center, Automatic clustering algorithm
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Source: Information Sciences. 169:47-69
Subject Terms: Null values, null values, Database theory, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Fuzzy relation, Relational database systems, Automatic clustering algorithm
File Description: application/xml
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4
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Subject Terms: Automatic clustering algorithm, Fuzzy relation, Null values, Relational
File Description: application/pdf
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.512.4464; http://sci2s.ugr.es/keel/pdf/specific/articulo/chen_hsiao05.pdf
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5
Authors: 張舒婷
Subject Terms: 關連式資料庫, 空值, 自動分群演算法, 分群中心, Relational database, Null value, Automatic clustering algorithm, Cluster center
File Description: 148 bytes; application/octet-stream
Relation: http://ir.lib.ntust.edu.tw/handle/987654321/7408; http://ir.lib.ntust.edu.tw/bitstream/987654321/7408/1/
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6
Authors: et al.
Index Terms: automatic clustering, human mental search, image segmentation, optimisation, population-based algorithms, Evolutionary algorithms, Optimization, Automatic clustering algorithm, Conventional algorithms, K-means, Local optima, Meta heuristic algorithm, Number of clusters, Optimisation problems, Population-based algorithm, K-means clustering, Computer and Information Sciences, Data- och informationsvetenskap, Conference paper, info:eu-repo/semantics/conferenceObject, text
URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55522
GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, p. 1931-1936
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