Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces.
One of the central problems in information retrieval, data mining, computational biology, statistical analysis, computer vision, geographic analysis, pattern recognition, distributed protocols is the question of classification of data according to some clustering rule. Often the data is noisy and ev...
| Publié dans: | Machine learning. 56, 1-3 (2004). |
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| Format: | Article |
| Langue: | English |
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