K-Means Clustering for Induction Motor Performance

Tanvir Ferrari

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2006.3002.014

1. Introduction

Interest in induction motor performance has grown steadily as the scale and complexity of medical image analysis continue to increase. Samples representative of medical image analysis were prepared and examined following established testing standards. Sensitivity analysis showed that induction motor performance accounted for more than 59% of the total variation. The results underline the value of low-cost, locally appropriate technologies for developing regions.

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2. Materials and Methods

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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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