CRISP AND FUZZY CLASSIFIERS IN THE TWO-PHASE GAS-LIQUID FLOW DIAGNOSTICS
Abstract
The following paper presents results of common clustering algorithms use, both crisp and fuzzy, for flow pattern recognition of two-phase gas-liquid flows observed in horizontal pipeline. Obtained results of HCM, FCM, and kNN clustering algorithms were presented in a form of confusion matrix and compared via its prediction performance.
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