This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clusterin

Big Data Analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. MATLAB has the tool Neural Network Toolbox (Deep

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eige

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better represen