Clustering methodology for symbolic data /
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Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Hoboken, NJ ; Chichester, West Sussex :
John Wiley & Sons,
2020.
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Series: | Wiley series in computational statistics
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Subjects: | |
Online Access: | CONNECT CONNECT |
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082 | 0 | 0 | |a 519.5/3 |2 23 |
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100 | 1 | |a Billard, L. |q (Lynne), |d 1943- |e author. | |
245 | 1 | 0 | |a Clustering methodology for symbolic data / |c Lynne Billard, Edwin Diday. |
264 | 1 | |a Hoboken, NJ ; |a Chichester, West Sussex : |b John Wiley & Sons, |c 2020. | |
264 | 4 | |c ©2020 | |
300 | |a 1 online resource (vii, 340 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
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490 | 0 | |a Wiley series in computational statistics | |
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. | |
588 | 0 | |a Online resource; title from digital title page (viewed on November 08, 2019). | |
590 | |a O'Reilly Online Learning Platform: Academic Edition (SAML SSO Access) | ||
650 | 0 | |a Cluster analysis. | |
650 | 0 | |a Multivariate analysis. | |
700 | 1 | |a Diday, E., |e author. | |
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