K-Means Clustering Applied to Adsorption of Heavy Metals

1. Introduction

The economic importance of thermal power plants justifies a careful examination of adsorption of heavy metals. Field measurements from thermal power plants provide the input data for the analysis, which relies on k-means clustering. The settlement is limited to less than 5 millimetres under the design load. The insights gained may inform policy as well as engineering practice.

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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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