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A series of essays on data analysis and transforming such data into useful information in the form of graphs and models, this study addresses topics such as functional and textual data analysis, principal component analysis, and correspondence analysis. An ideal sourcebook for scientists, researchers, and industrial engineers, this compendium also features several essays on the clustering methods, including the principals of clustering and model-based clustering. A thorough examination on the links between data mining and data analysis is also included.
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