Clustering a data recovery approach - Mirkin, B. G. (Boris Grigor§evich); Mirkin, B. G. (Boris Grigor§evich). (Boca Raton CRC Press, 2013)
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.
Earlier ed. published under title: Clustering for data mining.
Keywords: Data mining; Cluster analysis; Data recovery (Computer science); Electronic books