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High-Dimensional Wide Gap $k$-Means Versus Clustering Axioms
Published 30 Nov 2022 in cs.LG and stat.ML | (2211.17036v1)
Abstract: Kleinberg's axioms for distance based clustering proved to be contradictory. Various efforts have been made to overcome this problem. Here we make an attempt to handle the issue by embedding in high-dimensional space and granting wide gaps between clusters.
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