One of the most fundamental and essential data analysis techniques, clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. This book brings together recent advances in clustering large and high-dimension data, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading ...
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One of the most fundamental and essential data analysis techniques, clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. This book brings together recent advances in clustering large and high-dimension data, with particular emphasis on linear algebra tools, opimization methods and statistical techniques. The contributions, written by leading researchers from both academia and industry, cover theoretical basics as well as application and evaluation of algorithms, and thus provide an excellent state-of-the-art overview.
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Add this copy of Grouping Multidimensional Data: Recent Advances in to cart. $55.42, new condition, Sold by Book Forest rated 5.0 out of 5 stars, ships from San Rafael, CA, UNITED STATES, published 2005 by Springer.
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Add this copy of Grouping Multidimensional Data to cart. $67.33, new condition, Sold by Educational Media Centre rated 4.0 out of 5 stars, ships from New Delhi, DELHI, INDIA, published 2005 by Springer.
Add this copy of Grouping Multidimensional Data to cart. $82.41, new condition, Sold by Basi6 International rated 5.0 out of 5 stars, ships from Irving, TX, UNITED STATES, published 2005 by Springer.