Ouvrages basés sur MATLAB et Simulink
Written for undergraduate students, this book provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes' rule). Topics include summarization and correlation, case study problems, summarization and visualization of a single feature, and multivariate correlations in data.
MATLAB is used to solve numerous examples in the book.
Teaching materials based on MATLAB and Simulink