pattern recognition book. S. Theodoridis , K. Koutroumbas.
This book provides the most comprehensive treatment available
of pattern recognition, from an engineering perspective.
Developed through more than ten years of teaching experience,
engineering students and practicing engineers.
Beyesian classifiers, neural networks,hidden markov models,template matching, fuzzy and possibilistic clustering,
agglomerative algorithms. MATLAB simulations included.
Supervised learning,Beyesian classifiers,neural networks,hidden markov models,
template matching,fuzzy and possibilistic clastering,agglomerative algorithms.
MATLAB simulations included.