By Boris Mirkin
Rather than the normal set of advert hoc strategies, Clustering for info Mining: a knowledge restoration procedure offers a idea that not just closes gaps in K-Means and Ward equipment, but additionally extends them into parts of present curiosity, resembling clustering combined scale info and incomplete clustering. the writer indicates unique tools for either cluster discovering and cluster description, addresses comparable subject matters reminiscent of crucial part research, contingency measures, and information visualization, and contains approximately 60 computational examples masking all levels of clustering, from facts pre-processing to cluster validation and effects interpretation.
This author's special consciousness to facts restoration equipment, theory-based suggestion, pre- and post-processing concerns which are past the scope of such a lot texts, and transparent, sensible directions for real-world facts mining make this ebook best for almost all reasons: for instructing, for self-study, and for pro reference.
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