BINCLUS is a clustering procedure designed for aggregating binary variables into relatively homogenous clusters. It uses any of several indices of binary association and operates by a variation on the “average linkage principle. It was tried out on a number of sets of artificial data and found to be extremely successful. With real data, where clusters are typically less clearly defined, two modifications were useful in clarifying the results. Results of using BINCLUS with two sets of real data are given.
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Experimental and Cognitive Psychology
- Arts and Humanities (miscellaneous)