Technical research on machine learning framework based on optimization algorithm

Abstract

In order to overcome the drawbacks of traditional machine learning algorithms and their frameworks, K-means algorithm and random forest classification algorithm are deeply analyzed, and improved AKM and ARF algorithms are proposed, and an AMLF machine learning application framework based on Spark platform technology is established. It can be seen from the verification results that the classification accuracy of the AKM algorithm in each data set is close to 100%, and it has strong data clustering ability. Furthermore, the AKM algorithm has a high acceleration in each data set, so the upgradeability is also relatively high. powerful. The ARF verification results show that it not only has a high classification accuracy, but also has strong upgradeability.