Classification, 2nd Edition

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Business, government, and industry all need efficient and accurate methods of summarizing and extracting information from the huge amounts of data collected and stored electronically. Thoroughly updated, the second edition of this popular text presents graphical and clustering methods in the same book. It provides an overview of recent methodological developments, including efficient algorithms, cluster validation, consensus classifications, and the classification of symbolic data. It offers guidance on the selection of appropriate methods of analyzing particular data sets, illustrates methods by application to data, and critically assesses work in cluster validation.