A New Incremental Algorithm for Overlapped Clustering

被引:0
|
作者
Perez Suarez, Airel
Martinez Trinidad, Jose Fco.
Carrasco Ochoa, Jesus A.
Medina Pagola, Jose E.
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a new algorithm for incremental overlapped clustering, called Incremental Clustering by Strength Decision (ICSD), is introduced. ICSD obtains a set of dense and overlapped clusters using a new graph cover heuristic while reduces the amount of computation by maintaining incrementally the cluster structure. The experimental results show that our proposal outperforms other graph-based clustering algorithms considering quality measures and also show that ICSD achieves a better time performance than other incremental graph-based algorithms.
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页码:497 / 504
页数:8
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