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Applying the LLA Method to Real Data

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Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

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Abstract

The theoretical and methodological aspects of the LLA approach were highlighted and studied in Chaps. 3, 5–7, 9 and 10. The edification of this methodology enables us an overall view on nonsupervised methods of Data Analysis and clustering methods.

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Notes

  1. 1.

    IDDN.FR.001.240016.000.S.P.2006.000.20700.

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Authors and Affiliations

  1. Department of Data Knowledge and Management, University of Rennes 1, IRISA, Rennes, Ille-et-Vilaine, France

    Israël César Lerman

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  1. Israël César Lerman
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Lerman, I.C. (2016). Applying the LLA Method to Real Data. In: Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-6793-8_11

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  • DOI: https://doi.org/10.1007/978-1-4471-6793-8_11

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  • Print ISBN: 978-1-4471-6791-4

  • Online ISBN: 978-1-4471-6793-8

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