alexa An Efficient Clustering Method To Find Similarity Betw
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Special Issue Article

An Efficient Clustering Method To Find Similarity Between The Documents

To read the full article Peer-reviewed Article PDF image


Data mining is a concept of extracting or mining knowledge from large amount of data. Clustering is a data mining technique in which it is used to grouping the similar data items. TF-IDF approach is used to calculate the weight of the cluster and ranking method is used to rank the document of the cluster. For clustering the similarity between the pair of objects the similarity measure done by using single view point and multi view point and the values are calculated using cosine similarity. In contrast, the proposed method is based on correlation similarity and uses HAC algorithmfor clustering the documents. By using Correlation similarity, the similarity between the each and every documents of the cluster is calculated. HAC algorithm is used for grouping the cluster level by level and ranking technique is used to give rank to the cluster according to the content of the document and finally the most relevant data is grouped and cluster results are displayed.

Share This Page

Additional Info

Loading Please wait..
Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version