Matrix Methods in Data Mining and Pattern Recognition, Paperback by Elden, La...

Matrix Methods in Data Mining and Pattern Recognition, Paperback by Elden, Lars, ISBN 0898716268, ISBN-13 9780898716269, Used Good Condition, Free shipping in the USEldén (numerical analysis, Linköping U.) uses as examples handwritten digits, text summarization, pagerank computations made famous by a certain very popular search engine (the name of which is now used as a verb) and face recognition to explain how to use very powerful linear algebra techniques to mine data and recognize patterns. He introduces vectors and matrices in data mining and pattern recognition, then gives more details on vectors and matrices, including their inner products, vector norms and linear independence bases. He explains linear systems and least squares, orthogonality, QR decomposition, singular value decomposition, reduced-rank least squares models, tensor decomposition, clustering and nonnegative matrix factorization. In the next section he applies the abstract to real life, throwing in an exercise on extracting an automatic key word and key sentence, and closes with instructions on computing matrix decomposition, including computing eigenvalues and singular values. Annotation ©2007 Book News, Inc., Portland, OR ()