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001434631 001__ 1434631
001434631 003__ OCoLC
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001434631 019__ $$a1200578580$$a1239801576$$a1239982894$$a1244117193
001434631 020__ $$a9789813341913$$q(electronic book)
001434631 020__ $$a9813341912$$q(electronic book)
001434631 020__ $$z9789813341906
001434631 020__ $$z9813341904
001434631 0247_ $$a10.1007/978-981-33-4191-3$$2doi
001434631 035__ $$aSP(OCoLC)1241065943
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001434631 049__ $$aISEA
001434631 050_4 $$aQ342
001434631 08204 $$a006.3$$223
001434631 24500 $$aEvolutionary data clustering :$$balgorithms and applications /$$cIbrahim Aljarah, Hossam Faris, Seyedali Mirjalili, editors.
001434631 264_1 $$aSingapore :$$bSpringer,$$c[2021]
001434631 300__ $$a1 online resource (xii, 248 pages) :$$billustrations (chiefly color)
001434631 336__ $$atext$$btxt$$2rdacontent
001434631 337__ $$acomputer$$bc$$2rdamedia
001434631 338__ $$aonline resource$$bcr$$2rdacarrier
001434631 347__ $$atext file
001434631 347__ $$bPDF
001434631 4901_ $$aAlgorithms for intelligent systems,$$x2524-7565
001434631 504__ $$aIncludes bibliographical references.
001434631 5050_ $$aIntroduction to Evolutionary Data Clustering and its Applications -- A Comprehensive Review of Evaluation and Fitness Measures for Evolutionary Data Clustering -- A Grey Wolf based Clustering Algorithm for Medical Diagnosis Problems -- EEG-based Person Identification Using Multi-Verse Optimizer As Unsupervised Clustering Techniques -- Capacitated vehicle routing problem: a new clustering approach based on hybridization of adaptive particle swarm optimization and grey wolf optimization -- A hybrid salp swarm algorithm with beta-hill climbing algorithm for text documetns clustering -- Controlling population diversity of Harris Hawks optimization algorithm using self-adaptive clustering approach -- A review of multiobjective evolutionary algorithms for data clustering problems -- A Review of Evolutionary Data Clustering Algorithms for Image Segmentation -- Pavememtn infrastructure asset management using clustering-based ant colony optimization -- A Classification Approach based on Evolutionary Clustering and its Application for Ransomware Detection.
001434631 506__ $$aAccess limited to authorized users.
001434631 520__ $$aThis book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms. In addition, the book provides a comprehensive review of the fitness functions and evaluation measures that are used in most of evolutionary clustering algorithms. Furthermore, it provides a conceptual analysis including definition, validation and quality measures, applications, and implementations for data clustering using classical and modern nature-inspired techniques. It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony optimization, grey wolf optimizer, salp swarm algorithm, multi-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering in diverse fields such as image segmentation, medical applications, and pavement infrastructure asset management.
001434631 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 17, 2021).
001434631 650_0 $$aComputational intelligence.
001434631 650_0 $$aEvolutionary computation.
001434631 650_0 $$aCluster analysis.
001434631 650_0 $$aAlgorithms.
001434631 650_0 $$aData mining.
001434631 650_0 $$aMathematical optimization.
001434631 650_6 $$aIntelligence informatique.
001434631 650_6 $$aRéseaux neuronaux à structure évolutive.
001434631 650_6 $$aClassification automatique (Statistique)
001434631 650_6 $$aAlgorithmes.
001434631 650_6 $$aExploration de données (Informatique)
001434631 650_6 $$aOptimisation mathématique.
001434631 655_0 $$aElectronic books.
001434631 7001_ $$aAljarah, Ibrahim,$$eeditor.
001434631 7001_ $$aFaris, Hossam,$$eeditor.
001434631 7001_ $$aMirjalili, Seyedali,$$eeditor.
001434631 77608 $$iPrint version: $$z9789813341906
001434631 77608 $$iPrint version: $$z9789813341920
001434631 77608 $$iPrint version: $$z9789813341937
001434631 830_0 $$aAlgorithms for intelligent systems,$$x2524-7565
001434631 852__ $$bebk
001434631 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-33-4191-3$$zOnline Access$$91397441.1
001434631 909CO $$ooai:library.usi.edu:1434631$$pGLOBAL_SET
001434631 980__ $$aBIB
001434631 980__ $$aEBOOK
001434631 982__ $$aEbook
001434631 983__ $$aOnline
001434631 994__ $$a92$$bISE