LEADER 03914nam 2200625Ia 450 001 9910484820103321 005 20200520144314.0 010 $a3-642-01805-X 024 7 $a10.1007/978-3-642-01805-3 035 $a(CKB)1000000000746062 035 $a(SSID)ssj0000320042 035 $a(PQKBManifestationID)11224642 035 $a(PQKBTitleCode)TC0000320042 035 $a(PQKBWorkID)10343267 035 $a(PQKB)10541478 035 $a(DE-He213)978-3-642-01805-3 035 $a(MiAaPQ)EBC3064204 035 $a(PPN)136301096 035 $a(EXLCZ)991000000000746062 100 $a20090626d2009 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aSimilarity-based clustering $erecent developments and biomedical applications /$fMichael Biehl ... [et al.] (eds.) 205 $a1st ed. 2009. 210 $aBerlin $cSpringer-Verlag$dc2009 215 $a1 online resource (XI, 203 p.) 225 1 $aLecture notes in computer science ;$v5400.$aLecture notes in artificial intelligence 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-01804-1 320 $aIncludes bibliographical references and index. 327 $aI: Dynamics of Similarity-Based Clustering -- Statistical Mechanics of On-line Learning -- Some Theoretical Aspects of the Neural Gas Vector Quantizer -- Immediate Reward Reinforcement Learning for Clustering and Topology Preserving Mappings -- II: Information Representation -- Advances in Feature Selection with Mutual Information -- Unleashing Pearson Correlation for Faithful Analysis of Biomedical Data -- Median Topographic Maps for Biomedical Data Sets -- Visualization of Structured Data via Generative Probabilistic Modeling -- III: Particular Challenges in Applications -- Learning Highly Structured Manifolds: Harnessing the Power of SOMs -- Estimation of Boar Sperm Status Using Intracellular Density Distribution in Grey Level Images -- HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods. 330 $aThis book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular challenging applications are considered. Topics discussed concern a theoretical investigation and foundation of prototype based learning algorithms, the development and extension of models to directions such as general data structures and the application for the domain of medicine and biology. Similarity based methods find widespread applications in diverse application domains, including biomedical problems, but also in remote sensing, geoscience or other technical domains. The presentations give a good overview about important research results in similarity-based learning, whereby the character of overview articles with references to correlated research articles makes the contributions particularly suited for a first reading concerning these topics. 410 0$aLecture notes in computer science ;$v5400. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence. 606 $aMachine learning$xDevelopment 606 $aMedical electronics 615 0$aMachine learning$xDevelopment. 615 0$aMedical electronics. 676 $a570 686 $aBIO 110f$2stub 686 $aDAT 708f$2stub 686 $aDAT 758f$2stub 686 $aDAT 777f$2stub 686 $aSS 4800$2rvk 701 $aBiehl$b Michael$f1964-$01762853 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484820103321 996 $aSimilarity-based clustering$94203004 997 $aUNINA