Image Compression Using Partitioning Around Medoids Clustering Algorithm

Clustering is a unsupervised learning technique. This paper presents a clustering based technique that may be applied to Image compression. The proposed technique clusters all the pixels into predetermined number of groups and produces a representative color for each group. Finally for each pixel only clusters number is stored during compression. This technique can be obtained in machine learning which one of the best methods for clustering is. The k-medoids algorithm is a clustering algorithm related to the K-means algorithm and the medoidshift