Data Mining: Concepts and Techniques, 3rd Edition

Publisher Summary

This chapter discusses the advanced topics of cluster analysis. In conventional cluster analysis, an object is assigned to one cluster exclusively. However, in some applications, there is a need to assign an object to one or more clusters in a fuzzy or probabilistic way. Fuzzy clustering and probabilistic model-based clustering allow an object to belong to one or more clusters. A partition matrix records the membership degree of objects belonging to clusters. There are two major categories of clustering methods for high-dimensional data: subspace clustering methods and dimensionality reduction methods. Subspace clustering methods search for clusters in subspaces of the original space. Dimensionality reduction methods create ...