Score clustering analysis method based on t-SNE

The invention provides a score clustering analysis method based on t-SNE. The method comprises the steps: importing original data, carrying out the t-SNE dimension reduction of high-dimensional scoredata, carrying out the K-Means clustering of the score data after the t-SNE dimension reduction, and obtaining a clustering result. According to the method, after the original data is preprocessed, the data in the high-dimensional space is subjected to dimensionality reduction by using the t-SNE algorithm, and then the original data is clustered by using the K-Means algorithm, so that the problemof non-ideal clustering effect caused by over-high data dimensionality is effectively solved. Due to the fact that the distribution characteristics of the high-dimensional data are completely reservedthrough the t-sne dimension reduction method, the clustering result of the high-dimensional data is obtained through reduction of the clustering result of the data after dimension reduction. The superiority of the dimensionali