An extensive empirical comparison of k-means initialisation algorithms
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3179803
Abstract: The k-means clustering algorithm, whilst widely popular, is not without its drawbacks. In this paper, we focus on the sensitivity of k-means to its initial set of centroids. Since the cluster recovery performance of k-means… read more here.
Keywords: comparison means; initialisation algorithms; empirical comparison; initialisation ... See more keywords
Parametric Comparison of K-means and Adaptive K-means Clustering Performance on Different Images
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v7i2.pp810-817
Abstract: Image segmentation takes a major role to analyzing the area of interest in image processing. Many researchers have used different types of techniques to analyzing the image. One of the widely used techniques is K-means… read more here.
Keywords: adaptive means; image; means adaptive; means clustering ... See more keywords