Following is a list of books, articles and links to on-line literature and software concerning cluster analysis:

Books and Journals
Clustering Algorithms (1975) by J. Hartigan is a classic textbook treatment of cluster analysis.

Finding Groups In Data: An Introduction to Cluster Analysis (1990) by L. Kauffman and P. Rousseeuw is another important (more recent) text book that discusses the main approaches to clustering and provides and excellent overview of partitioning methods and hierarchical techniques.

Discriminant Analysis and Clustering: Panel on Discriminant Analysis, Classification, and Clustering. Statistical Science, Volume 4 Issue 1 (Feb. 1989) – Provides a summary of the state-of-the-art in discriminant analysis and clustering and identifies key research and unsolved problems that need to be addressed in these two areas.

Analyzing Clustering Effects Across Time by D. Dunn and J. Landwehr. Journal of the American Statistical Association, Volume 75, Issue 369 (Mar. 1980) – Discussion on several graphical statistical methods that focus on changes in cluster characteristics across two successive time periods. Both articles can be downloaded from www.jstor.org if you are part of a subscribing institution.

Online Papers/Books related to Clustering:

Improving the Performance of K-Means Clustering Algorithm to Position the Centers of RBF Network
Automatic Classification
Multidimensional Scaling: Concepts and Applications
List of commercial and free clustering software.
Clustering Calculator

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