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Visual Knowledge Discovery and Machine Learning
Boris Kovalerchuk
(Author)
·
Springer
· Hardcover
Visual Knowledge Discovery and Machine Learning - Kovalerchuk, Boris
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Origin: U.S.A.
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Synopsis "Visual Knowledge Discovery and Machine Learning"
Expands methods of knowledge discovery based on visual means Generates new lossless visual representations of n-D data in 2-D that fully preserves n-D data with focus on Machine Learning/ Data Mining goals, in contrast with a generic visualization without a clearly specified goalProvides clear interpretation of features of visual representations in terms of n-D data propertiesEffectively usrees human vision capabilities of shape perception in mapping n-D data points into 2-D graphsRecognizes n-D data structures such as hyper-tubes, hyper-planes, hyper-spheres, etc. using lossless visual data representations
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
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