| C. Domeniconi, J. Peng, and D. Gunopulos. Locally adaptive metric nearest-neighbor classification. PAMI, 24(9):1281-- 1285, 2002. |
....into the ordinary k means and into a discriminative clustering algorithm. This modification of DC, motivated by the asymptotical properties of the method, improves practical clustering results as well. Local metric modifications similar in spirit have earlier been applied to k NN classifiers [6], 7] and isotropic magnification of the space near the class boundary has been tried with SVMs [8] II. DISCRIMINATIVE CLUSTERING A. The Principle We will begin by reviewing the original discriminative clustering model [1] 2] Given pairs (x, c) of primary data x and auxiliary data c, the ....
C. Domeniconi, J. Peng, and D. Gunopulos, "Locally adaptive metric nearest-neighbor classificaton," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, pp. 1281--1285, 2002.
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C. Domeniconi, J. Peng, and D. Gunopulos. Locally adaptive metric nearest neighbor classification. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002.
No context found.
C. Domeniconi, J. Peng, and D. Gunopulos. Locally adaptive metric nearest neighbor classification. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2002.
No context found.
C. Domeniconi, J. Peng, and D. Gunopulos. Locally adaptive metric nearest-neighbor classification. PAMI, 24(9):1281-- 1285, 2002.
No context found.
C. Domeniconi, J. Peng, and D. Gunopulos. Locally adaptive metric nearest-neighbor classification. PAMI, 24(9):1281--1285, 2002.
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