Feature Selection for Unsupervised Problems: The Case of Clustering

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With the massive growth of data over the last decade, selecting the right feature is becoming a major challenge. A well-known technique in data processing consists of dimensionality reduction. This process tries to remove redundant and irrelevant features that would degrade the performance. These methods can be categorized between feature extraction/construction and feature…