Title: Clustering of interval data based on city–block distances
Abstract: The recording of interval data has become a common practice with the recent advances in database technologies. This paper introduces clustering methods for interval data based on the dynamic cluster algorithm. Two methods are considered: one with adaptive distances and the other without.
Publication Year: 2004
Publication Date: 2004-02-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 209
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