Downloads: 126 | Views: 271 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014 | Popularity: 6.3 / 10
Efficient Text Clustering for Distributed Network
Chithra Purushothaman, Lakshmi S
Abstract: Text clustering is an important technique for improving the quality of information retrieval in both centralized and distributed environment. Most of the existing text clustering algorithms are designed for central execution; which are not work well on highly distributed environment. In this paper; an algorithm called probabilistic text clustering for distributed network such as peer to peer network is proposed. This algorithm achieves high scalability for assigning documents to clusters. It enables a peer to compare each of its documents only with very few selected clusters; maintain cluster quality.
Keywords: text clustering, k- means, p2p network, DHT, centroid
Edition: Volume 3 Issue 6, June 2014
Pages: 362 - 365
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 103
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014
Pages: 2075 - 2077Node Clone Detection with Scalable Key Pre-Distribution Scheme for WSN
Rekha V. Aher, Sunita Nandagave
Downloads: 106
Research Paper, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015
Pages: 1977 - 1984Chord4TSD: A Decentralized Trust Based Service Discovery Approach on Peer-to-Peer Networks
Yogini Bhamare
Downloads: 107
Review Papers, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014
Pages: 2135 - 2136Text Clustering and Classification on the Use of Side Information
Shilpa S. Raut, Prof. V. B. Maral
Downloads: 109
Review Papers, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015
Pages: 2062 - 2066Load Balancing in P2P Networks using Random Walk Algorithm
A. S. Syed Navaz, A. S. Syed Fiaz
Downloads: 109
M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 5 Issue 7, July 2016
Pages: 1240 - 1244Implementing K-Means Clustering Algorithm Using MapReduce Paradigm
Botcha Chandrasekhara Rao, Medara Rambabu