LEADER 03619nam 22007935 450 001 9910437885803321 005 20251230064104.0 010 $a9781283935470 010 $a1283935473 010 $a9783642352300 010 $a3642352308 024 7 $a10.1007/978-3-642-35230-0 035 $a(CKB)2670000000317407 035 $a(EBL)1082887 035 $a(OCoLC)823388577 035 $a(SSID)ssj0000878417 035 $a(PQKBManifestationID)11465369 035 $a(PQKBTitleCode)TC0000878417 035 $a(PQKBWorkID)10814987 035 $a(PQKB)10129167 035 $a(DE-He213)978-3-642-35230-0 035 $a(MiAaPQ)EBC1082887 035 $a(PPN)168328275 035 $a(EXLCZ)992670000000317407 100 $a20121214d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Self-Organizing Maps $e9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012 Proceedings /$fedited by Pablo A. Estévez, José C. Príncipe, Pablo Zegers 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (370 p.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5365 300 $aDescription based upon print version of record. 311 08$a9783642352294 311 08$a3642352294 320 $aIncludes bibliographical references and index. 327 $aNonlinear Analysis and Time Series -- Text Mining and Language Processing -- Applications of Data Mining and Analysis. 330 $aSelf-organizing maps (SOMs) were developed by Teuvo Kohonen in the early eighties. Since then more than 10,000 works have been based on SOMs. SOMs are unsupervised neural networks useful for clustering and visualization purposes. Many SOM applications have been developed in engineering and science, and other fields. This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012. The workshop brought together researchers and practitioners in the field of self-organizing systems. Among the book chapters there are excellent examples of the use of SOMs in agriculture, computer science, data visualization, health systems, economics, engineering, social sciences, text and image analysis, and time series analysis. Other chapters present the latest theoretical work on SOMs as well as Learning Vector Quantization (LVQ) methods. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5365 606 $aComputational intelligence 606 $aDynamics 606 $aNonlinear theories 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aApplied Dynamical Systems 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aDynamics. 615 0$aNonlinear theories. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aApplied Dynamical Systems. 615 24$aArtificial Intelligence. 676 $a006.3/2 676 $a006.32 701 $aEstevez$b Pablo A$01761734 701 $aPrincipe$b J. C$g(Jose C.)$01424592 701 $aZegers$b Pablo$01761735 712 12$aWorkshop on Self-Organizing Maps. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437885803321 996 $aAdvances in self-organizing maps$94201344 997 $aUNINA