DOI: 10.36347/sjet.2020.v08i12.003

Pages: 215-221

The data mining is the approach which can cluster data into certain clusters. The text clustering is the type of clusters in which text data will be clustered according to its similarity. In the previous research, PAM algorithm is used for text clustering. In the PAM algorithm the weight of each word is calculated to generate final clusters. In this research work, the PAM algorithm will be further improved which calculate word occurrence with machine learning. The proposed and existing techniques are implemented in MATLAB. The results are analyzed in terms of certain parameters and it is analyzed that proposed approach performs well in terms of all parameters.