A Review on Contribution Based Clustering Algorithm with Distinct Features

Computer Engineering

An image retrieval primarily based on texture features by the usage of the contribution based clustering method to form the cluster is an efficient way to extract the perfect image from database. Color features, shape features and texture feature approach is used for feature extraction. Clustering is an unmonitored category method which place the identical object in a cluster and dissimilar objects are place in unique clusters. Contribution based clustering algorithm is partition based clustering algorithm which offers the better results than that of k-mean clustering algorithm. This contribution based clustering algorithm process on ‘contribution of data points’. In image retrieval, use of clustering method gives the better results. To match query image with the database image, feature extraction, similarity measures, indexing and retrieval etc. steps are applied.

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