[PDF.65sr] Grouping Multidimensional Data: Recent Advances in Clustering

Grouping Multidimensional Data: Recent Advances in Clustering

[PDF.ul39] Grouping Multidimensional Data: Recent Advances in Clustering

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 | #4970983 in Books |  2006-02-10 | Original language:English | PDF # 1 |  9.40 x.80 x6.45l,1.19 | File type: PDF | 268 pages

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||1 of 1 people found the following review helpful.| Good Tool|By Jaime A. Florez|It has good interesting tools to analyze data that shows a lot of "noise" from different kind of sources not of main interest|0 of 1 people found the following review helpful.| Grouping data analysis|By Jesus Ponce De Leon|Great book. The collection of readings is very good. The authors provide grea|About the Author||Jacob Kogan is an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland Baltimore County. Dr. Kogan received his Ph.D. in Mathematics from Weizmann Institute of Science, and has held teaching and rese

Clustering is 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.

Kogan and his co-editors have put together recent advances in clustering large and high-dimension data. Their volume addresses new topics and methods ...

You easily download any file type for your device.Grouping Multidimensional Data: Recent Advances in Clustering   |  From Springer. I was recommended this book by a dear friend of mine.

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