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Rectified Gaussian kernel multi-view k-means clustering
May 10, 2024, 4:41 a.m. | Kristina P. Sinaga
cs.LG updates on arXiv.org arxiv.org
Abstract: In this paper, we show two new variants of multi-view k-means (MVKM) algorithms to address multi-view data. The general idea is to outline the distance between $h$-th view data points $x_i^h$ and $h$-th view cluster centers $a_k^h$ in a different manner of centroid-based approach. Unlike other methods, our proposed methods learn the multi-view data by calculating the similarity using Euclidean norm in the space of Gaussian-kernel, namely as multi-view k-means with exponent distance (MVKM-ED). By …
abstract algorithms arxiv cluster clustering cs.cv cs.lg data general kernel k-means paper show type variants view
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