LEADER 02437nam 2200505 450 001 9910317800903321 005 20221021121953.0 010 $a1-83881-560-0 010 $a1-78923-527-8 035 $a(CKB)4970000000100075 035 $a(NjHacI)994970000000100075 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/57760 035 $a(MiAaPQ)EBC30390281 035 $a(Au-PeEL)EBL30390281 035 $a(EXLCZ)994970000000100075 100 $a20221021d2018 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aRecent Applications in Data Clustering /$fedited by Harun Pirim 205 $a1st ed. 210 $cIntechOpen$d2018 210 1$aCroatia :$cIntechOpen,$d2018. 215 $a1 online resource (250 pages) $cillustrations 311 $a1-78923-526-X 320 $aIncludes bibliographical references. 330 $aClustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement of missing values in data, temporal clustering in smart cities, comparison of artificial neural network variations, graph theoretical approaches, spectral clustering, multiview clustering, and model-based clustering in an R package. Applications of image, text, face recognition, speech (synthetic and simulated), and smart city datasets are presented. 606 $aData mining 610 $aPhysical Sciences 610 $aEngineering and Technology 610 $aComputer and Information Science 610 $aMachine Learning and Data Mining 610 $aNumerical Analysis and Scientific Computing 615 0$aData mining. 676 $a006.312 700 $aHarun Pirim$4auth$01364602 702 $aPirim$b Harun 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910317800903321 996 $aRecent Applications in Data Clustering$93386035 997 $aUNINA