S.S. Shahapurkar

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The self-organizing map (SOM) has emerged as one of the popular choices for clustering data; however, when it comes to point density accuracy of codebooks or reliability and interpretability of the map, the SOM leaves much to be desired. In this paper, we compare the newly developed K-means hierarchical (KMH) clustering algorithm to the SOM. We also(More)
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