A Survey : A Comparative study on Partitioning and Hierarchical Algorithms for Document Clustering using MATLAB |
Author(s): |
| Sejal Patel , NSIT Jetalpur; Ankita Shah, NSIT Jetalpur |
Keywords: |
| Document Clustering, K-means, Hierarchical Clustering, MATLAB |
Abstract |
|
Clustering is a useful technique that organizes a large quantity of unordered text documents into a small number of meaningful and coherent clusters. This paper presents the comparative study on clustering algorithms i.e. K-means and Hierarchical Clustering using MATLAB. MATLAB is a multi-paradigm numerical computing environment and fourth-generation programming language, developed by MathWorks. |
Other Details |
|
Paper ID: IJSRDV2I12260 Published in: Volume : 2, Issue : 12 Publication Date: 01/03/2015 Page(s): 248-251 |
Article Preview |
|
|
|
|
