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Books > Computing & IT > Computer communications & networking
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Clustering - A Data Recovery Approach, Second Edition (Paperback, 2nd edition)
Loot Price: R2,051
Discovery Miles 20 510
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Clustering - A Data Recovery Approach, Second Edition (Paperback, 2nd edition)
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Often considered more of an art than a science, books on clustering
have been dominated by learning through example with techniques
chosen almost through trial and error. Even the two most popular,
and most related, clustering methods-K-Means for partitioning and
Ward's method for hierarchical clustering-have lacked the
theoretical underpinning required to establish a firm relationship
between the two methods and relevant interpretation aids. Other
approaches, such as spectral clustering or consensus clustering,
are considered absolutely unrelated to each other or to the two
above mentioned methods. Clustering: A Data Recovery Approach,
Second Edition presents a unified modeling approach for the most
popular clustering methods: the K-Means and hierarchical
techniques, especially for divisive clustering. It significantly
expands coverage of the mathematics of data recovery, and includes
a new chapter covering more recent popular network clustering
approaches-spectral, modularity and uniform, additive, and
consensus-treated within the same data recovery approach. Another
added chapter covers cluster validation and interpretation,
including recent developments for ontology-driven interpretation of
clusters. Altogether, the insertions added a hundred pages to the
book, even in spite of the fact that fragments unrelated to the
main topics were removed. Illustrated using a set of small
real-world datasets and more than a hundred examples, the book is
oriented towards students, practitioners, and theoreticians of
cluster analysis. Covering topics that are beyond the scope of most
texts, the author's explanations of data recovery methods,
theory-based advice, pre- and post-processing issues and his clear,
practical instructions for real-world data mining make this book
ideally suited for teaching, self-study, and professional
reference.
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