A selective ensemble method based on K-means method

Abstract

As the ensemble learning is able to combine multiple weak machine learning methods into a stronger ability, it is widely concerned by the academic community. At the same time, it also has the disadvantages such as large storage space, long training time and repeated training. In order to overcome these drawbacks, we propose an alternative approach based on… (More)

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