Ebook: Classification, 2nd Edition

The Second Edition of Classification incorporates many of the new and powerful methodologies developed since its first edition. Like its pre decessor, this edition describes both clustering and graphical methods of representing data, and offers advice on how to decide which method s of analysis best apply to a particular data set. It goes even furthe r, however, by providing critical overviews of recent developments not widely known, including efficient clustering algorithms, cluster vali dation, consensus classifications, and the classification of symbolic data.