Boris Mirkin

Clustering (eBook, PDF)

A Data Recovery Approach, Second Edition

• Format: PDF

Produktbeschreibung

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error. Even the two most popular, and most related, clustering methods-K-Means for partitioning and Ward's method for hierarchical clustering-have lacked the theoretical underpinning req

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 374
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781439838426
• Artikelnr.: 39453550

Autorenporträt

Boris Mirkin is a professor of computer science at the University of London, UK.

Inhaltsangabe

What Is Clustering. What Is Data. K-Means Clustering and Related Approaches. Least-Squares Hierarchical Clustering. Similarity Clustering: Uniform
Modularity
Additive
Spectral
Consensus and Single Linkage. Validation and Interpretation. Least-Squares Data Recovery Clustering Models.