Performance Analysis of Video Data Image using Clustering Technique

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.