LEADER 00869nam0-22002891i-450- 001 990000434750403321 005 20001010 035 $a000043475 035 $aFED01000043475 035 $a(Aleph)000043475FED01 035 $a000043475 100 $a20001010d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aFlat jack test for the analysis of mechanical behaviour of brick masonry structures$fPier Paolo Rossi 210 $aBergamo$cISMES$ds.d. 215 $a12 p.$cill.$d29 cm 225 1 $aISMES$v205 700 1$aRossi,$bPier Paolo$011186 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000434750403321 952 $a08 CC 432$b3669$fDINED 959 $aDINED 996 $aFlat jack test for the analysis of mechanical behaviour of brick masonry structures$9327514 997 $aUNINA DB $aING01 LEADER 01657oam 2200457Ia 450 001 9910699948903321 005 20110211134958.0 035 $a(CKB)5470000002406468 035 $a(OCoLC)227997143 035 $a(EXLCZ)995470000002406468 100 $a20080513d2002 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPolymer-layered silicate nanocomposites from model surfactants at high coverage$b[electronic resource] /$fFrederick L. 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Galvin 210 1$aAberdeen Proving Ground, MD :$cArmy Research Laboratory,$d[2002] 215 $a1 online resource (viii, 18 pages) $cillustrations 225 1 $aARL-TR ;$v2742 300 $aTitle from title screen (viewed on Feb. 11, 2011). 300 $a"May 2002." 320 $aIncludes bibliographical references (pages 13-14). 606 $aNanocomposites (Materials)$xMechanical properties 606 $aThermodynamics$xMathematical models 606 $aPolymers$xAnalysis 615 0$aNanocomposites (Materials)$xMechanical properties. 615 0$aThermodynamics$xMathematical models. 615 0$aPolymers$xAnalysis. 700 $aBeyer$b Frederick L$01406406 701 $aDasgupta$b Arnab$01422637 701 $aGalvin$b Mary E$0695836 712 02$aU.S. Army Research Laboratory. 801 0$bDTICE 801 1$bDTICE 801 2$bOCLCQ 801 2$bGPO 906 $aBOOK 912 $a9910699948903321 996 $aPolymer-layered silicate nanocomposites from model surfactants at high coverage$93547567 997 $aUNINA LEADER 06003nam 2200769 a 450 001 9910677433703321 005 20240318122309.0 010 $a9786612308055 010 $a9781282308053 010 $a128230805X 010 $a9780470316801 010 $a0470316802 010 $a9780470317488 010 $a0470317485 035 $a(CKB)1000000000687562 035 $a(StDuBDS)AH3916616 035 $a(SSID)ssj0000337684 035 $a(PQKBManifestationID)11278482 035 $a(PQKBTitleCode)TC0000337684 035 $a(PQKBWorkID)10293430 035 $a(PQKB)10073694 035 $a(PPN)159493943 035 $a(Perlego)2760052 035 $a(EXLCZ)991000000000687562 100 $a20050120e20051990 fy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFinding groups in data /$ean introduction to cluster analysis /$fLeonard Kaufman, Peter J. Rousseeuw 210 $aHoboken, N.J. $cWiley-Interscience$dc2005 215 $a1 online resource (xiv, 342 p. )$cill 225 1 $aWiley series in probability and statistics 225 1 $aWiley-Interscience paperback series 300 $aOriginally published: New York: Wiley, 1990. 311 08$a9780471878766 311 08$a0471878766 320 $aIncludes bibliographical references and index. 327 $a1. Introduction. 2. Partitioning Around Medoids (Program PAM). 3. Clustering large Applications (Program CLARA). 4. Fuzzy Analysis. 5. Agglomerative Nesting (Program AGNES). 6. Divisive Analysis (Program DIANA). 7. Monothetic Analysis (Program MONA). Appendix 1. Implementation and Structure of the Programs. Appendix 2. Running the Programs. Appendix 3. Adapting the Programs to Your Needs. Appendix 4. The Program CLUSPLOT. References. Author Index. Subject Index. 330 8 $aPresenting a selection of methods which can deal with most applications, this text looks at the fundamental aspects of cluster analysis, identifying the main approaches to clustering and providing guidance in choosing between the available methods.$bThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well." -Mathematical Reviews "Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature." -Journal of Classification "This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study." -Technometrics An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. This book discusses various types of data, including interval-scaled and binary variables as well as similarity data, and explains how these can be transformed prior to clustering. The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Cluster analysis is the increasingly important and practical subject of finding groupings in data. The authors set out to write a book for the user who does not necessarily have an extensive background in mathematics. They succeed very well." -Mathematical Reviews "Finding Groups in Data [is] a clear, readable, and interesting presentation of a small number of clustering methods. In addition, the book introduced some interesting innovations of applied value to clustering literature." -Journal of Classification "This is a very good, easy-to-read, and practical book. It has many nice features and is highly recommended for students and practitioners in various fields of study." -Technometrics An introduction to the practical application of cluster analysis, this text presents a selection of methods that together can deal with most applications. These methods are chosen for their robustness, consistency, and general applicability. 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