LEADER 04297nam 22006255 450 001 9910483712703321 005 20230828203302.0 010 $a981-13-0553-6 024 7 $a10.1007/978-981-13-0553-5 035 $a(CKB)4100000011401114 035 $a(MiAaPQ)EBC6320880 035 $a(DE-He213)978-981-13-0553-5 035 $a(PPN)250213184 035 $a(EXLCZ)994100000011401114 100 $a20200827d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 13$aAn Introduction to Clustering with R$b[electronic resource] /$fby Paolo Giordani, Maria Brigida Ferraro, Francesca Martella 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (346 pages) 225 1 $aBehaviormetrics: Quantitative Approaches to Human Behavior,$x2524-4027 ;$v1 311 $a981-13-0552-8 320 $aIncludes bibliographical references. 327 $aSection: Introduction -- 1.1 Introduction to clustering -- 1.2 R software -- 2. Section: Standard algorithms -- 2.1 Introduction -- 2.2 Distances and dissimilarities -- 2.3 Hierarchical methods -- 2.4 Non-hierarchical methods -- 2.5 Cluster validity -- 3. Section: Fuzzy algorithms -- 3.1 Introduction -- 3.2 Fuzzy K-means -- 3.3 Fuzzy K-medoids -- 3.4 Other fuzzy variants -- 3.5 Cluster validity -- 4. Section: Model-based algorithms -- 4.1 Introduction -- 4.2 Mixture of Gaussian distributions -- 4.3 Mixture of non-Gaussian distributions -- 4.4 Parsimonious mixture models. 330 $aThe purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely used in several domains of research, such as social sciences, psychology, and marketing, highlighting its multidisciplinary nature. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses. The procedures addressed in this book include traditional hard clustering methods and up-to-date developments in soft clustering. Attention is paid to practical examples and applications through the open source statistical software R. Commented R code and output for conducting, step by step, complete cluster analyses are available. The book is intended for researchers interested in applying clustering methods. Basic notions on theoretical issues and on R are provided so that professionals as well as novices with little or no background in the subject will benefit from the book. 410 0$aBehaviormetrics: Quantitative Approaches to Human Behavior,$x2524-4027 ;$v1 606 $aStatistics  606 $aBiostatistics 606 $aR (Computer program language) 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aStatistics and Computing/Statistics Programs$3https://scigraph.springernature.com/ontologies/product-market-codes/S12008 606 $aApplied Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/S17000 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 615 0$aStatistics . 615 0$aBiostatistics. 615 0$aR (Computer program language). 615 14$aStatistical Theory and Methods. 615 24$aStatistics and Computing/Statistics Programs. 615 24$aApplied Statistics. 615 24$aBiostatistics. 676 $a519.53 700 $aGiordani$b Paolo$c(Writer on statistics.$4aut$4http://id.loc.gov/vocabulary/relators/aut$0178971 702 $aFerraro$b Maria Brigida$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMartella$b Francesca$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483712703321 996 $aAn Introduction to Clustering with R$92084635 997 $aUNINA