DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-3,Issue-8 ( Aug, 2016 ) | |||||||||
Paper Title |
An Updated Clustering Based Model to Perform Document Clustering | |||||||||
Author Name |
Purvi Khare | |||||||||
Affilition |
Shri Vaishnav Institute of Technology and Science, Indore | |||||||||
Pages |
1-3 | |||||||||
Abstract |
The Clustering is applied to the group of user’s set into k clusters by applying k-means algorithm and Association mining is used for generating the rules. A cluster is a collection of data objects that are similar to one another within the same cluster and dissimilar to the objects in other clusters. A cluster of data objects can be treated collectively as one group in many applications. Document clustering is an extension of traditional clustering. This paper presents an introduction to document clustering. It also presents an updated document clustering technique. Document clustering helps in search optimization. Due to this quality, it helps up to a great extent in many real world applications like search engines. Index Term- Data Mining, K-Mean, Clustering, Simhash Technique. | |||||||||
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