00945nam0-22002891i-450-99000130922040332120080220093625.0000130922FED01000130922(Aleph)000130922FED0100013092220001205d1923----km-y0itay50------bafreBEy-------001yy<<Les >>coniques d'Apollonius de Pergeoeuvres traduites pour la premiere fois du grec en francais avec une introduction et des notes par Paul Ver EeckeBrugesDesclee, De Brouwer et Cie1923L, 656 p., [1] c. di tav.ill.29 cmApollonius :Pergaeus<fl. 3. saec. a. C. ex.>156257Ver Eecke,PaulITUNINARICAUNIMARCBK990001309220403321117-D-303362MA1MA1Coniques d'Apollonius de Perge383555UNINA01146nam a2200313 i 450099100126128970753620020507113547.0940312s1973 de ||| | eng 3540061940b10195968-39ule_instLE00644831ExLDip.to Fisicaita53.1.6510:53530.1'33QC174.82.B37Lenard, A.44701Statistical mechanics and mathematical problems :Battelle Seattle 1971 Rencontres /edited by A. LenardBerlin :Springer-Verlag,1973viii, 246 p. :ill. ;26 cm.Lecture notes in physics / edited by J. Ehlers...[et al.] ;20Includes bibliographies.Mathematical physics.b1019596817-02-1727-06-02991001261289707536LE006 53.1.62+53.1.64 LEN12006000043601le006-E0.00-l- 00000.i1024176027-06-02Statistical mechanics and mathematical problems191435UNISALENTOle00601-01-94ma -engde 0100886cam0 22002533 450 SOB02084720240123092743.0881324336720040211d2002 |||||ita|0103 baitaITEguaglianza sostanziale e diritto disegualecontributo allo studio delle azioni positive nella prospottiva costituzionaleAntonio D'AloiaPadovaCEDAM2002XVII, 490 p.24 cmD[']Aloia, AntonioAF00013048070253610ITUNISOB20240123RICAUNISOBUNISOB340115263SOB020847M 102 Monografia moderna SBNM340004247SI115263ACQUISTOrovitoUNISOBUNISOB20240123092728.020240123092743.0rovitoEguaglianza sostanziale e diritto diseguale679451UNISOB00861nam0-22002891i-450 99000436618040332120240223151038.00-8018-6259-000043661820020306d1999----km-y0itay50------baengUSy-------001yy<<The >>past as textthe theory and practice of medieval historiographyGabrielle M. SpiegelBaltimore and LondonThe Johns Hopkins University press1999XXII, 297 p.22 cmParallaxStoriografiaEuropaMedioevo909.0721Spiegel,Gabrielle M.165928ITUNINARICAUNIMARCBK990004366180403321907.2 SPIG 01Bibl.42015FLFBCFLFBCPast as text541258UNINA06003nam 2200769 a 450 991067743370332120240318122309.097866123080559781282308053128230805X9780470316801047031680297804703174880470317485(CKB)1000000000687562(StDuBDS)AH3916616(SSID)ssj0000337684(PQKBManifestationID)11278482(PQKBTitleCode)TC0000337684(PQKBWorkID)10293430(PQKB)10073694(PPN)159493943(Perlego)2760052(EXLCZ)99100000000068756220050120e20051990 fy| 0engur|||||||||||txtccrFinding groups in data /an introduction to cluster analysis /Leonard Kaufman, Peter J. RousseeuwHoboken, N.J. Wiley-Intersciencec20051 online resource (xiv, 342 p. )illWiley series in probability and statisticsWiley-Interscience paperback seriesOriginally published: New York: Wiley, 1990.9780471878766 0471878766 Includes bibliographical references and index.1. 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.Presenting 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.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. 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. 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.Wiley series in probability and statistics.Wiley-Interscience paperback series.Cluster analysisMathematicsukslcCluster analysisMathematical StatisticsHILCCMathematicsHILCCPhysical Sciences & MathematicsHILCCElectronic books.lcshCluster analysis.Mathematics.Cluster analysis.Mathematical StatisticsMathematicsPhysical Sciences & Mathematics519.53Kaufman Leonard53760Rousseeuw Peter J12084StDuBDSStDuBDSStDuBDSZUkPrAHLSBOOK9910677433703321Finding groups in data1130937UNINA