An interpretable neural network for robustly determining the location and number of cluster centers

K-means is a clustering method with an interpretable mechanism. However, its clustering results are significantly affected by the location of the initial cluster centers. More importantly, for it and its improved versions, it is extremely hard to adaptively determine the number of cluster centers. I...

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