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TwoPhaseClusteringDetectionOutliers
- Two-phase clustering is implemented for outlier detection. Outlier detection or anomaly detection is important for researchers.
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- —Compilation of musical instrument sample s requires careful elimination of badly recorded samples and validation of sample classification into correct categories. This paper introduces algorithms for automatic removal of bad instrument samples using