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The Kernel based clustering algorithms are superior over conventional clustering techniques. In Literature, many kernel functions exist and have proved their performance efficiency. Gaussian kernel function is the most commonly used kernel function that has proved its efficiency on various synthetic, real and image datasets. In this paper, we have used a Log kernel function on unsupervised possibilistic...
This study presents a solution procedure to load frequency control (LFC) of an interconnected hydro-thermal power system using a hybrid fuzzy-PID controller. The PID-type fuzzy controller is combined with a conventional PID controller to enhance the performance and robustness of the controller. The proposed control scheme has been designed for a two-area connected power system. Two performance criteria...
A possibilistic approach was initially proposed for c-means clustering. Although the possibilistic approach is sound, this algorithm tends to find identical clusters. To overcome this shortcoming, a possibilistic Fuzzy c-means algorithm (PFCM) was proposed which produced memberships and possibilities simultaneously, along with the cluster centers. PFCM addresses the noise sensitivity defect of Fuzzy...
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