Performance Analysis of Video Data Image using Clustering Technique

D  Saravanan  nbsp

doi:10.17485/ijst/2016/v9i10/79731

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Performance Analysis of Video Data Image using Clustering Technique

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i10/79731

Year: 2016, Volume: 9, Issue: 10, Pages: 1-6

Original Article

Performance Analysis of Video Data Image using Clustering Technique

D. Saravanan^*

*Author for Correspondence
D. Saravanan IFHE University, IBS Hyderabad, Telangana State–501203, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: This research paper focuses on design of a hierarchical clustering algorithm for efficient and effective organization of data for information retrieval. Method/Analysis:A classification tree is formed in COBWEB which indicates hierarchical clustering model. Findings: The proposed method utilizes less memory and worked well for all types of video files. Also this paper brings the comparison result of existing three types of video clustering algorithms BRICH, CURE, and CHAMELEON and their performances.

Keywords: Clustering, Hierarchical Clustering, Image Processing, Performance Analysis, Video Data Mining