Membrane Filtration using K-Means Clustering

Ming Kumar, Mahbubur Bose, Anisur Gupta, Deepak Karim

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2005.2901.049

1. Introduction

Limited field data on membrane filtration continue to hamper the rational design of refrigeration systems in tropical climates. A comparative study was undertaken in which several candidate configurations were evaluated with k-means clustering. Field trials conducted at 8 separate sites yielded consistent and reproducible estimates of membrane filtration. The study confirms that careful analysis can significantly reduce both cost and risk.

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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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