A Computer Vision-Based Approach for Subspace Clustering and Lagrange Multiplier Optimization in High-Dimensional Data | IBOOK.PUB

A Computer Vision-Based Approach for Subspace Clustering and Lagrange Multiplier Optimization in High-Dimensional Data

In this work, we discuss the issues raised due to the high-dimensionality data in real-life scenario and present a novel approach to overcome the high-dimensionality issue. Principal component analysis (PCA)-based dimension reduction and clustering are co

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