Literature DB >> 18262930

Comments on "Modified K-means algorithm for vector quantizer design".

K K Paliwal, V Ramasubramanian.   

Abstract

Previously a modified K-means algorithm for vector quantization design has been proposed where the codevector updating step is as follows: new codevector=current codevector+scale factor (new centroid-current codevector). This algorithm uses a fixed value for the scale factor. In this paper, we propose the use of a variable scale factor which is a function of the iteration number. For the vector quantization of image data, we show that it offers faster convergence than the modified K-means algorithm with a fixed scale factor, without affecting the optimality of the codebook.

Year:  2000        PMID: 18262930     DOI: 10.1109/83.877216

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  1 in total

1.  Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design.

Authors:  Edson Mata; Silvio Bandeira; Paulo de Mattos Neto; Waslon Lopes; Francisco Madeiro
Journal:  Sensors (Basel)       Date:  2016-11-23       Impact factor: 3.576

  1 in total

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