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Ping Chen

FRACTAL CLUSTERING

ITS APPLICATIONS ON PROJECTED CLUSTERING AND TREND ANALYSIS

Buch

Clustering is a widely used knowledge discovery technique. Large-scale clustering has received a lot of attention recently. However, existing algorithms often do not scale with the size of the data and the number of dimensions, or fail to find arbitrary shapes of clusters or deal effectively with the presence of noise. In this book a new clustering algorithm based on self-similarity properties is discussed. Self-similarity is the property of being invariant with respect to the scale used to look at the data set. While fractals are self-similar at every scale, many data sets only exhibit self-similarity over a range of scales. Self-… Mehr

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Produktdetails


Weitere Autoren: Barbara, Daniel
  • ISBN: 978-3-8433-6212-2
  • EAN: 9783843362122
  • Produktnummer: 37826798
  • Verlag: LAP Lambert Academic Publishing
  • Sprache: Englisch
  • Erscheinungsjahr: 2010
  • Seitenangabe: 140 S.
  • Masse: H22.0 cm x B15.0 cm x D0.8 cm 227 g
  • Abbildungen: Paperback
  • Gewicht: 227

Über den Autor


Dr. Ping Chen is an Associate Professor of Computer Science and the Director of Artificial Intelligence Lab at the University of Houston-Downtown. His research interests include Data Mining, and Computational Semantics. Dr. Chen has published over 40 papers in major Data Mining, AI, and Bioinformatics conferences and journals.

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