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To learn a metric for query-based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find the nearest neighbouring points on the manifold on which the query point is lying. Extensive experiments on standard benchmark data sets in the context of classification showed promising and interesting results with regard...
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important problem. We propose a new algorithm for clustering ensemble based on spectral clustering. We also propose a criteria along with this algorithm, for the detection of cluster numbers. Our algorithm can determine the number of...
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