Fast Noise Removal for $k$-Means Clustering

13 Apr 2020 Im Sungjin Qaem Mahshid Montazer Moseley Benjamin Sun Xiaorui Zhou Rudy

This paper considers $k$-means clustering in the presence of noise. It is known that $k$-means clustering is highly sensitive to noise, and thus noise should be removed to obtain a quality solution... (read more)

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  • DATA STRUCTURES AND ALGORITHMS