Download Advances in Knowledge Discovery and Data Mining, Part I: by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi PDF

By Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi

ISBN-10: 3642136567

ISBN-13: 9783642136566

This e-book constitutes the complaints of the 14th Pacific-Asia convention, PAKDD 2010, held in Hyderabad, India, in June 2010.

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Additional info for Advances in Knowledge Discovery and Data Mining, Part I: 14th Pacific-Asia Conference, PAKDD 2010, Hyderabat, India, June 21-24, 2010, Proceedings

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The challenges faced by GlobalRSC (and other SN-based clustering algorithms) as the dimensionality increases are: (i) the construction of neighborhoods becomes more expensive, due to an effect known as the ‘curse of dimensionality’ [8]; (ii) the optimization of the objective function becomes more difficult, as local optimization approaches such as hill-climbing are more easily trapped at local maxima that may be far from the global optimum. In order to accelerate the construction of neighborhoods, we propose the use of the Spatial Approximation Sample Hierarchy (SASH) developed in [8].

Houle Table 1. 2 Image Data We tested the clustering algorithms on the Amsterdam Library of Object Images (ALOI) [15], which consists of 110,250 images of 1000 common objects. Each image is represented by a dense 641-dimensional feature vector based on color and texture histograms (see [16] for details on how the vectors were produced). The following data sets were used: – I1-ALOI-var: A subset of 13943 images, generated by selecting objects unevenly from among the classes, with the i-th object class having approximately 40000/(400 + i) image instances selected.

Journal of the Royal Statistical Society. Series B, Statistical Methodology 63(2), 411–423 (2001) 6. : A dendrite method for cluster analysis. Communications in Statistics 3(1), 1–27 (1974) 7. : Indices of partition fuzziness and the detection of clusters in large sets. Fuzzy Automata and Decision Processes (1976) 8. : VAT: A tool for visual assement of (cluster) tendency. In: International Joint Conference on Neural Networks, vol. 3, pp. 2225–2230 (2002) 9. : Mathematical Concepts and Novel Heuristic Methods for Data Clustering and Visualization.

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Advances in Knowledge Discovery and Data Mining, Part I: 14th Pacific-Asia Conference, PAKDD 2010, Hyderabat, India, June 21-24, 2010, Proceedings by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi


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