most citedA Unified Framework for Sampling, Clustering and Embedding Data Points in Semi-Metric Spaces

3 citations · 6 across the 3 of their papers we have counts for

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cs.DS2017★ 1 cited

K-sets+: a Linear-time Clustering Algorithm for Data Points with a Sparse Similarity Measure

Cheng-Shang Chang, Chia-Tai Chang, Duan-Shin Lee +1

In this paper, we first propose a new iterative algorithm, called the K-sets+ algorithm for clustering data points in a semi-metric space, where the distance measure does not neces…