Clustering a data recovery approach /

Bibliographic Details
Main Author: Mirkin, B. G.
Format: Electronic
Language:English
Published: Boca Raton : CRC Press, 2013.
Edition:2nd ed.
Series:Series in computer science and data analysis.
Subjects:
Online Access:Distributed by publisher. Purchase or institutional license may be required for access.
Table of Contents:
  • 1. What is clustering?
  • 2. What is data?
  • 3. K-means clustering and related approaches
  • 4. Least-squares hierarchical clustering
  • 5. Similarity clustering : uniform, modularity, additive, spectral, consensus, and single linkage
  • 6. Validation and interpretation
  • 7. Least-squares data recovery clustering models.