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The aim of outlier detection was to find out abnormal data patterns concealed in abundant data sets which were sparse and isolate. Mine disaster occurred much more frequently in our country, so it was urgent to take out an effective method to prevent mine disaster and guarantee miner's life and property of the company. In this paper, we presented a new method-AHHDOD, it could not only find out the...
In this paper, a new clustering algorithm MSC is proposed. Mathematics morphology theory is used to search clusters. A new mathematics morphological operator is introduced, which is more accurate than the ordinary operators: open and close. The scale space theory is integrated with mathematics morphology to get multi-scale and hierarchical clusters. Performance tests show that MSC can find clusters...
Although linear representations of images are widely used in appearance-based recognition of objects, the frequently used ideas, such as PCA, ICA, and FDA, are often found to be suboptimal. A stochastic search algorithm has been proposed recently [4] for finding representations that are optimal for specific tasks and datasets. However, this search algorithm is computationally efficient only when the...
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