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010 a| 2019011642;

020 a| 9780470713938 (hardcover);

035 a| (WaSeSS)ssj0002187651;

040 a| DLCb| engc| DLCd| WaSeSS;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| QA278.55b| .B55 2019;

082 00 a| 519.5/32| 23;

100 1 a| Billard, L.q| (Lynne),d| 1943-=| ^A287974;

245 10 a| Clustering methodology for symbolic datah| [electronic resource] /c| Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine).;

260 a| Hoboken, NJ :b| Wiley,c| 2019.;

263 a| 1908;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

505 0 a| Introduction -- Symbolic data, basics -- Dissimilarity, similarity, and distance measures -- Dissimilarity, similarity, and distance measures, modal data -- General clustering techniques -- Partitioning techniques -- Divisive hierarchical clustering -- Agglomerative hierarchical clustering.;

506 a| Available only to authorized users.;

538 a| Mode of access: World Wide Web;

650 0 a| Cluster analysis.=| ^A23210;

650 0 a| Multivariate analysis.=| ^A9849;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Diday, E.?| UNAUTHORIZED;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=5850225;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 5858868;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5858868-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 7/17/2022x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5858868-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 7/17/2022x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5858868-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 7/17/2022x| EBOOKz| JERESOURCE;

Clustering methodology for symbolic data / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine).

Author/creator	Billard, L., 1943-
Other author	Diday, E.
Format	Electronic
Publication Info	Hoboken, NJ : Wiley, 2019.
Description	pages cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Cluster analysis. Multivariate analysis.

Contents	Introduction -- Symbolic data, basics -- Dissimilarity, similarity, and distance measures -- Dissimilarity, similarity, and distance measures, modal data -- General clustering techniques -- Partitioning techniques -- Divisive hierarchical clustering -- Agglomerative hierarchical clustering.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2019011642
ISBN	9780470713938 (hardcover)

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Clustering methodology for symbolic data / Lynne Billard (University of Georgia), Edwin Diday (Universite de Paris IX--Dauphine).

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