Exploiting Local Coherent Patterns For Unsupervised Feature Ranking

Abstract

Prior to pattern recognition, feature selection is often used to identify relevant features and discard irrelevant ones for obtaining improved analysis results. In this paper, we aim to develop an unsupervised feature ranking algorithm that evaluates fea