Journal of Information Systems and Informatics
Vol 1 No 2 (2019): Journal of Information Systems and Informatics

Analysis of Document Clustering based on Cosine Similarity and K-Main Algorithms

Bambang Krismono Triwijoyo (Universitas Bumigora)
Kartarina Kartarina (Universitas Bumigora)

Article Info

Publish Date
02 Sep 2019


Clustering is a useful technique that organizes a large number of non-sequential text documents into a small number of clusters that are meaningful and coherent. Effective and efficient organization of documents is needed, making it easy for intuitive and informative tracking mechanisms. In this paper, we proposed clustering documents using cosine similarity and k-main. The experimental results show that based on the experimental results the accuracy of our method is 84.3%.

Copyrights © 2019

Journal Info





Computer Science & IT


Journal-ISI is a scientific article journal that is the result of ideas, great and original thoughts about the latest research and technological developments covering the fields of information systems, information technology, informatics engineering, and computer science, and industrial engineering ...