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2 of 2 people found the following review helpful:
5.0 out of 5 stars Smashing book on pattern recognition via dissimilarities, September 10, 2007
By 
gilgamash (cologne, Germany) - See all my reviews
This review is from: The Dissimilarity Representation for Pattern Recognition: Foundations And Applications (Machine Perception and Artificial Intelligence) (Hardcover)
Being the very first book to present the current state of the art when it comes to dissimilarity representation for pattern recognition (in the field of numerical data representation), it is outstanding as it introduces both, the mathematical background like the spaces one is working in, the techniques like embedding dissimilarities into (pseudo)-euclidean spaces and how all this combines. Next, this knowledge is used to describe the actions of learning, visualizing and creating classes and connecting new feature vectors of new data to their classes (as far as possible).
The algorithmical and implementational aspects are not really dealt with, which one could judge being a disadvantage; in my opinion however, this is not the intention of the book.
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