K-Means Clustering for Dye Adsorption

1. Introduction

Failures observed in existing renewable energy systems have highlighted the need for a deeper understanding of dye adsorption. The proposed algorithm uses k-means clustering to search efficiently for the optimum design of renewable energy systems. Field trials conducted at 7 separate sites yielded consistent and reproducible estimates of dye adsorption. Adoption of the recommended measures is likely to yield both economic and environmental benefits.

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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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