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

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

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

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Iv. Tentatively apply all the recorded reassignments for this round, and let A = {A1 , A2 , . . , AK } be the resulting clustering. Calculate R(A ). If R(A ) > R(A), set halt ← FALSE and A ← A . Otherwise, proceed to the incremental phase. 2. Incremental phase: (a) Set halt ← FALSE. (b) Repeat until halt = TRUE: i. Set halt ← TRUE. ii. For each data item v currently in cluster Ai : A. Build the list C of clusters (other than Ai ) that contribute items to Qv . B. Tentatively reassign v to each of the Aj in C, and calculate the index j for which the improvement value R(Aj ∪ {v}) + R(Ai \{v})− R(Aj )− R(Ai ) is maximized.

However, these methods reduce the dimensionality by optimizing a certain criterion function and do not address the problem of data clustering directly. The result of using dimensionality reduction techniques for clustering high-dimensional data is far from satisfactory and rarely used in such scenarios. Moreover, it is possible that different clusters lie in different subspaces and thus cannot be identified using any dimensionality reduction or feature selection method (see Fig. 1(a)). To deal with such cases, subspace clustering methods such as CLIQUE [4], ENCLUS [6], SUBCLU [10] etc.

Otsu’s method [24] is used to automatically choose a global threshold. , increasing contrast) to obtain a more reliable threshold, we transform the image intensities using a “monotonic” function f (txy ) = 1 − exp(−t2xy /σ2 ) where txy denotes the intensity value of the image pixel on the location (x, y), and σ is empirically set as the mean value of all pixel intensities. iVAT and aVAT: Enhanced Visual Analysis 21 Chamfer matching was first proposed by Barrow et al. [25]. Assume that two M point sets are U = {ui }N i=1 and V = {vi }i=1 , the chamfer distance is defined as dcham (U, V) = 1 N min ui − vj .

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