Efficient Cluster Identification Algorithm
IEEE Transactions on Systems, Man and Cybernetics
Clustering of large-scale binary matrices requires a considerable computational effort. In some cases this effort is lost since the matrix is not decomposable into mutually separable submatrices. A cluster identification algorithm that has relatively low computational time complexity O(2mn) is developed. It allows checking for the existence of clusters and determines the number of mutually separable clusters. A modified cluster-identification algorithm for clustering nondiagonally structured matrices is also presented. The two algorithms are illustrated by numerical examples.
Published Article/Book Citation
IEEE Transactions on Systems, Man and Cybernetics, SMC-17:4 (1987) pp.696-699.