Clustering Rules Using Empirical Similarity of Support Sets.
Shreevardhan LeleBruce L. GoldenKimberly OzgaEdward A. WasilPublished in: Discovery Science (2001)
Keyphrases
- similarity function
- clustering algorithm
- similarity measure
- information theoretic
- cosine similarity
- distance metric
- clustering method
- measuring similarity
- cluster analysis
- k means
- distance measure
- classification rules
- data points
- end users
- horn clauses
- multidimensional scaling
- distance computation
- similarity assessment
- similarity calculation
- high similarity
- data sets