Classification, Clustering and Data Analysis

Rating:
Summary: different methods for finding clusters
Review: The book has a nice treatment of the problem of finding, in some sense, clusters in data. Several papers point out that there is often some subjectivity here, as to which data sits in a particular cluster. Fuzziness in the boundary of a cluster. It can depend on what your underlying model is.

Possibly of interest to some is work on high dimensionality data, and trying to find clusters in these. Even visualisations might be non-trivial.

The book has value in letting you see a variety of ideas for finding clusters. Perhaps some of these might prove germane to your research.