Fuzzy C-Means Clustering for Image Segmentation

Elena Kumar, Abdul Haque, Deepak Schmidt

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2005.2901.010

1. Introduction

The transition towards sustainable practice has made image segmentation a key criterion in the assessment of mobile ad hoc networks. Numerical simulations based on fuzzy c-means clustering were performed for a wide range of operating conditions. The strengthened design increased load capacity by 22% over the unmodified case. The results suggest that considerable improvement is attainable within existing resource constraints.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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