<会議発表論文>
An Equivalence Between Log-Sum-Exp Approximation and Entropy Regularization in K-Means Clustering
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概要 | In this paper, we show an equivalence between log-sum-exp approximation and entropy regularization in K-means clustering, which is a well-known algorithm for partitional clustering. We derive an ident...ical equation for updating centroids of clusters from the two formulations. We also show experimental results which support the theoretical results.続きを見る |
詳細
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登録日 | 2019.12.11 |
更新日 | 2023.08.10 |