Matrix methods in data mining and pattern recognition is divided into three parts part i gives a short introduction to a few application areas before presenting linear algebra concepts and matrix decompositions that students can use in problem solving environments such as matlabr. Matrix methods in data mining and pattern recognition fundamentals of algorithms elden lars on amazoncom free shipping on qualifying offers matrix methods in data mining and pattern recognition fundamentals of algorithms. Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition this application oriented book describes how modern matrix methods can be used to solve these problems gives an introduction to matrix theory and decompositions and provides students with a set of tools that can be modified for a particular application. The matrix decompositions rather than on how they are computed in part ii the linear algebra techniques are applied to data mining problems naturally the data mining and pattern recognition repertoire is quite limited i have chosen problem areas that are well suited for linear algebra techniques in order to use intelligently. Buy matrix methods in data mining and pattern recognition fundamentals of algorithms by lars elden isbn 9780898716269 from amazons book store everyday low prices and free delivery on eligible orders
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