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Most of the clustering algorithms are sensitive to the input parameters and produce different clustering results for different input parameters for same datasets. A number of methods and indices have been proposed for validating results of a clustering process. The most commonly used approaches for cluster validation are based on internal indices. In this paper, we propose a new cluster validity index...
One of the challenges with the wind power renewable energy source lies in integrating this intermittent power source into the electricity grid. Prediction of wind speeds is essential for forecasting the periods when intermittent wind power is generated. Several meteorological parameters like wind direction, air temperature, atmospheric pressure, relative humidity can be used to predict wind speeds...
The most important task of clustering process is the validation of results obtained from clustering algorithms. There are many cluster validation criteria's but the most commonly used approaches are founded on internal validity indices. There are numerous indices that have been suggested from time to time but there are only some of them that have been popularly used. In this paper we have drawn a...
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