This book is based on the EC (ESPRIT) project StatLog which compare and
evaluated a range of classification techniques, with an assessment of
their merits, disadvantages and range of application. This integrated
volume provides a concise introduction to each method, and reviews
comparative trials in large-scale commercial and industrial problems.
It makes accessible to a wide range of workers the complex issue of
classification as approached through machine learning, statistics and
neural networks, encouraging a cross-fertilization between these
discplines.

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