Clustering of interval data based on city-block distances
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. (C) 2003 Elsevier B.V. All rights reserved.
interval data dynamic cluster algorithm adaptive distances symbolic data analysis l-1 distance