Titlebook: Core Concepts in Data Analysis: Summarization, Correlation and Visualization; Boris Mirkin Textbook 20111st edition Springer-Verlag London

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圖畫文字

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Muhammad Tahir,Sudip K. Mazumderr decision rule building. Two of them pertain to quantitative targets (linear regression, neural network), and four to categorical ones (linear discrimination, support vector machine, na?ve Bayes classifier and classification tree). Of these, classification trees are treated in a most detailed way i

怒目而視

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Guandong Xu,Yanchun Zhang,Lin Li different algorithms for divisive clustering, all three based on the same square error criterion as K-Means partitioning method. Agglomerative clustering starts from a trivial set of singletons and merges two clusters at a time. Divisive clustering splits clusters in parts and should be a more inte

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Boris MirkinProvides an in-depth understanding of a few basic techniques in data analysis rather than covering the broad spectrum of approaches developed to date..Explores methodical innovations of summarization