Improving a Centroid-Based Clustering by Using Suitable Centroids from Another Clustering
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DOI: 10.1007/s00357-018-9296-4
Abstract: Fast centroid-based clustering algorithms such as k-means usually converge to a local optimum. In this work, we propose a method for constructing a better clustering from two such suboptimal clustering solutions based on the fact… read more here.
Keywords: based clustering; using suitable; improving centroid; clustering using ... See more keywords