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• Published Subscription 28 May 2018

  Covariance based Clustering for Digital Image Compression

  By Nagalinga Rajan A, Sunder R, Karthik S M

  Abstract: Traditionally clustering is done based on distance between the data points and the cluster centroids. A new type of clustering based on distance between the covariance matrices of the clustered data points was recently introduced. This allows clustering data points according to their spatial distribution model. This paper presents an improved algorithm for the computation of covariance based clustering with application to digital image compression. Karhunen-Loeve Transform is an optimal …

  Published in Current Trends in Information Technology · Vol. 8, Issue 1, 2018 · pp. 16–21 Read article →