Intelligent Multidimensional Data Clustering and Analysis

Computer and information scientists and practitioners in application fields explore various aspects of multidimensional data clustering and analysis for graduate students and researchers who deal with advanced statistics. Their topics include a physical design strategy for datasets with multiple dimensions, dealing with higher dimensionality and outliers in content-based image retrieval, an adaptive edge detection method towards feature extraction from diverse medical imaging technologies, implementing a digital image watermarking framework using saliency and phase congruence, and the hybridization of intelligent techniques in bioinformatics. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)