Transforming Complex Problems into K-means Solutions.
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DOI: 10.1109/tpami.2023.3237667
Abstract: K-means is a fundamental clustering algorithm widely used in both academic and industrial applications. Its popularity can be attributed to its simplicity and efficiency. Studies show the equivalence of K-means to principal component analysis, non-negative… read more here.
Keywords: transforming complex; complex problems; means solutions; problems means ... See more keywords