An algol program for dissimilarity analysis: a divisive-omnithetic clustering technique
Computers & Geosciences
By: J.C. Tipper
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Abstract
Clustering techniques are used properly to generate hypotheses about patterns in data. Of the hierarchical techniques, those which are divisive and omnithetic possess many theoretically optimal properties. One such method, dissimilarity analysis, is implemented here in ALGOL 60, and determined to be competitive computationally with most other methods. ?? 1979.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | An algol program for dissimilarity analysis: a divisive-omnithetic clustering technique |
| Series title | Computers & Geosciences |
| DOI | 10.1016/0098-3004(79)90014-1 |
| Volume | 5 |
| Issue | 1 |
| Year Published | 1979 |
| Language | English |
| Publisher | Elsevier |
| Publisher location | Amsterdam, Netherlands |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Computers and Geosciences |
| First page | 1 |
| Last page | 13 |
| Google Analytic Metrics | Metrics page |