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Dimensionality Reduction Techniques by sonali is a document available to read on EtoBox.

This document discusses dimensionality reduction techniques for data mining. It introduces dimensionality reduction and its applications, including customer relationship management, text mining, image retrieval, and microarray data analysis. Dimensionality reduction techniques include feature selection, which selects an optimal subset of features, and feature extraction, which maps high-dimensional data to a lower-dimensional space. The document outlines different search strategies for feature selection, su

Author

sonali

Language

EN