Deep Clustering of Chinese S&T Literature

Functionality: Deep clustering of Chinese S&T literature. Only the first 15 elements of each class are shown in the clustering results, and the class label is given in the last column of the first row.

Data Description: Please upload the text files to be clustered (maximum number of articles: 800), and the data format (header, rows, columns) should be the same as the example files.

Example File: examples_zh