02437nam 2200505 450 991031780090332120221021121953.01-83881-560-01-78923-527-8(CKB)4970000000100075(NjHacI)994970000000100075(oapen)https://directory.doabooks.org/handle/20.500.12854/57760(MiAaPQ)EBC30390281(Au-PeEL)EBL30390281(EXLCZ)99497000000010007520221021d2018 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierRecent Applications in Data Clustering /edited by Harun Pirim1st ed.IntechOpen2018Croatia :IntechOpen,2018.1 online resource (250 pages) illustrations1-78923-526-X Includes bibliographical references.Clustering 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.Data miningPhysical SciencesEngineering and TechnologyComputer and Information ScienceMachine Learning and Data MiningNumerical Analysis and Scientific ComputingData mining.006.312Harun Pirimauth1364602Pirim HarunNjHacINjHaclBOOK9910317800903321Recent Applications in Data Clustering3386035UNINA