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A New Incremental Algorithm for Overlapped Clustering

机译:重叠聚类的新增量算法

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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.
机译:本文介绍了一种新的增量重叠聚类算法,称为强度决定增量聚类(ICSD)。 ICSD使用新的图形覆盖试探法获得了一组密集且重叠的簇,同时通过递增地保持簇结构来减少计算量。实验结果表明,考虑到质量指标,我们的建议优于其他基于图的聚类算法,并且表明ICSD比其他基于图的增量算法具有更好的时间性能。

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