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Topological Methods in Data Analysis and Visualization II: Theory, Algorithms, and Applications (Mathematics and Visualization)

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 | #1551258 in Books |  2012-03-11 | Original language:English | PDF # 1 |  .70 x6.20 x9.40l,1.23 | File type: PDF | 299 pages

||From the Back Cover||When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these feature-extraction methods, topological o

When scientists analyze datasets in a search for underlying phenomena, patterns or causal factors, their first step is often an automatic or semi-automatic search for structures in the data. Of these feature-extraction methods, topological ones stand out due to their solid mathematical foundation. Topologically defined structures―as found in scalar, vector and tensor fields―have proven their merit in a wide range of scientific domains, and scientists have found th...

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