Numerical Taxonomy.
Abstract
Several recently developed clustering techniques for exploring multivariate data are presented and analyzed. These techniques run the gamut from evaluation of all partitions of an n-dimensional space to some step-wise procedures that inherently eliminate evaluation of many possible partitions. The former technique can produce optimum clusterings but is usually prohibitive in cost or impossible to manage on a computer. Both bases for clustering are employed on some specific data sets in the fields of linguistics, law and medicine. Comparisons are then made as to the efficiency of step-wise clustering schemes in arriving at meaningful clusterings for a reasonable cost. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 04, 1970
- Accession Number
- AD0715781
Entities
People
- Herbert Solomon
Organizations
- Stanford University