Comparative Analysis of the Performance of Complex Texture Clustering Driven by Computational Intelligence Methods Using Multiple Clustering Models

<div>Clustering results of different algorithms. (a) Raw image. (b) FCM. (c) FSC. (d) GMM. (e) MEC. (f) K-means. (g) Mean-shift. (h) Ground-truth.</div>

Computational Intelligence and Neuroscience

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Figure 11

Figure 11: Comparative Analysis of the Performance of Complex Texture Clustering Driven by Computational Intelligence Methods Using Multiple Clustering Models 

Figure 11 | Comparative Analysis of the Performance of Complex Texture Clustering Driven by Computational Intelligence Methods Using Multiple Clustering Models 