Machine Learning Algorithm Study on Refrigerator Parameter Analysis
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Wenjin Xu, Yuan Feng, Di Zhou
In this paper, we systematically study the two kinds of data mining algorithm and software simulation process in refrigerator data analysis. This paper mainly introduces the related content of machine learning and data mining algorithm, including the concept, background of machine learning, model and the relevant methods. Then we implement two kinds of data mining algorithms: K - means algorithm and support vector machine (SVM) algorithm in refrigerator parameter analysis. Finally, we discuss the result of real-time data mining algorithm, using simulation software to realize the analysis of the data instance.
Machine Learning, K-Means, Support Vector Machine, Information Analysis