The Design and Implementation of the Data Classification System

The artificial data classification is time-consuming and inefficient. To solve this problem, the data classification system is developed to classify the data automatically and helps users to find the inconsistent points easily. Firstly, the requirement analysis, the summary design, the detailed design and the code design are given in this paper. Secondly, the MATLAB R2016 is used to implement this system. The data classification system has four algorithms: Fisher classifier, clustering analysis classifier, Bayes classifier, and linear SVM classifier. Users can choose different algorithms to classify the data and study the effect of different classification algorithms.