Clustering is a crucial part in the field of data mining, and common clustering methods include divisionbased methods, hierarchy-based density-based grid-based methods. In order to improve accuracy clustering, an optimization study made mainly for division-based method FCM that integrates active learning principal component analysis (PCA) proposed. The first uses reduce dimensionality computati...

In the current work optimization of double pipe fin-pin heat exchanger has been studied. The effective parameters those are controlling the heat exchanger performance are divided in two categories; geometrical and operating conditions. Using the Brent’s optimization algorithm and handling the thermodynamically design concept, one can minimize entropy generation in different length of heat excha...

A method for correction of nonhomogenous illumination based on optimization of parameters of B-spline shading model with respect to Shannon's entropy is presented. The evaluation of Shannon's entropy is based on Parzen windowing method (Mangin, 2000) with the spline-based shading model. This allows us to express the derivatives of the entropy criterion analytically, which enables efficient use ...