An Efficient Divergence and Distribution Based Similarity Measure for Clustering Of Uncertain Data
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Views: 164 , Downloads: 136 | CTR: 83 % | Weekly Popularity: ⮙5

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 3, March 2014

An Efficient Divergence and Distribution Based Similarity Measure for Clustering Of Uncertain Data

Geetha, Mary Shyla

Data Mining is the extraction of hidden predictive information from large databases. Clustering is one of the popular data mining techniques. Clustering on uncertain data, one of the essential tasks in mining uncertain data, posts significant challenges on both modeling similarity between uncertain objects and developing efficient computational methods. The previous methods extend traditional partitioning clustering methods. Such methods cannot handle uncertain objects that are geometrically indistinguishable, such as products with the same mean but very different variances in customer ratings. Surprisingly, probability distributions, which are essential characteristics of uncertain objects, have not been considered in measuring similarity between uncertain objects. In Existing method to use the well-known Kullback-Leibler divergence to measure similarity between uncertain objects in both the continuous and discrete cases, and integrate it into partitioning and density-based clustering methods to cluster uncertain objects. It is very costly or even infeasible. The proposed work introduces the well-known Kernel skew divergence to measure similarity between uncertain objects in both the continuous and discrete cases. Measuring the cluster similarity with Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time and/or space and to further speed up the computation.

Keywords: Clustering, uncertain data, Kernel skew Divergence and distribution

Edition: Volume 3 Issue 3, March 2014

Pages: 333 - 339

Share this Article

How to Cite this Article?

Geetha, Mary Shyla, "An Efficient Divergence and Distribution Based Similarity Measure for Clustering Of Uncertain Data", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=13031403, Volume 3 Issue 3, March 2014, 333 - 339

164 PDF Views | 136 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Clustering'

Views: 133 , Downloads: 73 | CTR: 55 % | Weekly Popularity: ⮙1

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 1936 - 1938

A Mining Method to Predict Patients DOSH

Ruchi Rathor, Pankaj Agarkar

Share this Article

Views: 144 , Downloads: 95 | CTR: 66 % | Weekly Popularity: ⮙2

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 2253 - 2256

Survey on Hubness - Based Clustering Algorithms

Nikita Dhamal, Antara Bhatttacharya

Share this Article

Views: 155 , Downloads: 98 | CTR: 63 % | Weekly Popularity: ⮙4

Review Papers, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015

Pages: 2461 - 2466

A Review of Text Mining Techniques Associated with Various Application Areas

Dr. Shilpa Dang, Peerzada Hamid Ahmad

Share this Article

Views: 150 , Downloads: 99 | CTR: 66 % | Weekly Popularity: ⮙2

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 2275 - 2278

Data Collection from Clusters in Wireless Sensor Network with Help of Mobile Nodes

Suraj Borge, Mayura Kinikar

Share this Article

Views: 145 , Downloads: 100 | CTR: 69 % | Weekly Popularity: ⮙5

Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 5, May 2014

Pages: 1742 - 1745

Enhancement of Leach Protocol in Wireless Sensor Network

Bipin Patel, Hardik Kadiya

Share this Article

Similar Articles with Keyword 'uncertain data'

Views: 144 , Downloads: 95 | CTR: 66 % | Weekly Popularity: ⮙2

Review Papers, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 2253 - 2256

Survey on Hubness - Based Clustering Algorithms

Nikita Dhamal, Antara Bhatttacharya

Share this Article

Views: 129 , Downloads: 101 | CTR: 78 % | Weekly Popularity: ⮙3

Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 5, May 2016

Pages: 1980 - 1983

A Review on Clustering of Uncertain Data

Manisha Padole, Sonali Bodkhe

Share this Article

Views: 134 , Downloads: 102 | CTR: 76 % | Weekly Popularity: ⮙2

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015

Pages: 1546 - 1551

Mining Frequent Item Set Using Cluster Approach from Large Uncertain Database

Naveen Sarawgi, C. Malathy

Share this Article

Views: 130 , Downloads: 104 | CTR: 80 % | Weekly Popularity: ⮙1

Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 12, December 2014

Pages: 1852 - 1856

Survey on Outlier Pattern Detection Techniques for Time-Series Data

Archana N., S. S. Pawar

Share this Article

Views: 131 , Downloads: 104 | CTR: 79 %

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015

Pages: 1916 - 1920

An Effective Approach to Compute Distance of Uncertain Data by Using K-Nearest Neighbor

A. Jayasri, Dr. M. B. Mukesh Krishnan

Share this Article
Top