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Economic studies in power systems have gained more importance post deregulation. The number of generators participating in the power market have significantly increased over the past years. Smart grids are now enabling distributed generation resources to also participate in the power market. Many economic studies conducted on power system networks utilize legacy quadratic cost curves which are based...
We always use CAPTCHA(Completely Automated Public Turing test to Tell Computers and Humans Apart) to prevent automated bot for data entry. Although there are various kinds of CAPTCHAs, text-based scheme is still applied most widely, because it is one of the most convenient and user-friendly way for daily user [1]. The fact is that segmentations of different types of CAPTCHAs are not always the same,...
In this paper, we discuss proportional data clustering. It emerges In many applications such as document clustering and Image classification using bag of visual words approach. When deploying mixture models for clustering, there Is always a problem of initialization, and It Is common to initialize using K-means algorithm. In proposed work, we present K-means clustering approach using different distance...
We have designed and implemented an unsupervised learning algorithm for finite mixture model using the scaled Dirichlet distribution for multivariate proportional data. In this paper, the task of learning finite mixture model involves estimation of model parameters as well as inferring the hidden class information of our observed data. We made use of the expectation maximization algorithm to find...
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