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The K-means algorithm is one of the most well-known clustering algorithms that has been frequently used to variety of problems. However, its processing performance has usually encountered a bottleneck if used to deal with massive data. Since MapReduce as the most popular cloud computing parallel framework is effective to handle massive data, the researches of K-means clustering algorithm which is...
For the problems of fundamental frequency changes and the presence of harmonic and interharmonic in microgrid, which bring difficulties to the harmonic analysis of the microgrid, this paper presents a new harmonic and interharmonic analysis method based on cubic spline interpolation algorithm to reconstruct the signal. The simulation results show that the new harmonic and interharmonic analysis method...
The class imbalance problem is of great importance to network intrusion detection data. Previous studies on feature selection always evaluate the performance of feature selection process according to the model performance and the size of selected feature subset, which neglect the stability of feature selection. We investigate the problem of the stability of feature selection and study in detail the...
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