📞 +91-7667918914 | ✉️ ijarcce@gmail.com
IJARCCE Logo
International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 3, MARCH 2016

Fast Retrieval of Musical Data from Optimized Clusters using PSO

Ms. Priyanka J. Howale, Ms. Sanketa S. Pradhan, Ms. Shraddha G. Lohar, Asst. Prof. Anagha N. Chaudhari

DOI: 10.17148/IJARCCE.2016.5361

Abstract: Information retrieval is concept related to various optimization techniques and clustering algorithms. High dimensional Textual dataset is required for information retrieval .swarm intelligence is one of the most important technique under evolutionary algorithms. Swarm intelligence technique includes various algorithms for optimization. Comparative study of those gives best algorithm on the basis of there computational time and efficiency. Best algorithm is identified for clustering .Comparative study of clustering algorithms gives best algorithm and used for information retrieval.



Keywords: High Dimensional Dataset Swarm Intelligence Technique, Clustering Optimization, Computational Time, Efficiency, Information retrieval.

How to Cite:

[1] Ms. Priyanka J. Howale, Ms. Sanketa S. Pradhan, Ms. Shraddha G. Lohar, Asst. Prof. Anagha N. Chaudhari, “Fast Retrieval of Musical Data from Optimized Clusters using PSO,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5361