Membrane Filtration using K-Means Clustering
Ming Kumar
Corresponding
RWTH Aachen University
Mahbubur Bose
Seoul National University
Anisur Gupta
Seoul National University
Deepak Karim
Indian Institute of Technology Madras
Abstract
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.
Keywords:
membrane filtrationk-means clusteringreactive power compensationmicrostrip antennacorrosion
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