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Randomized Dimensionality Reduction for <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-Means Clustering
We study the topic of dimensionality reduction for k-means clustering. Dimensionality reduction encompasses the union of two approaches: 1) feature selection and 2) feature extraction. A feature selection-based algorithm for k-means clustering selects a small subset of the input features and then applies k-means clustering on the selected features. A …