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As a popular topic model, Probabilistic Latent Semantic Analysis (PLSA) has been widely applied in text clustering due to its reliability and practicability. While independence assumption contributes to its practicability, it loses the rich local information between words, which in some cases will result in incoherent topics. In this paper, we propose an enhanced PLSA model embedded with word correlation...
The type of motivation that a student evinces can shape such outcomes as academic engagement, performance, and satisfaction. In this paper we explore student motivation using cluster analysis, a quantitative method that has been proven useful in examining group-based motivational profiles within academic settings. We apply a range of clustering techniques to a data set comprising motivational survey...
In this paper, several clustering algorithms are investigated in order to group together wind parks with close statistical behavior. Here, the proposed approach is practically founded on a fast incremental algorithm validated by a normalized principal component analysis combined with a k-means process. Both methods are practically based on the definition of a Pearson correlation coefficient. The advantage...
We review the literature and look at two of the best algorithms for Gaussian mixture reduction, the GMRC (Gaussian Mixture Reduction via Clustering) and the COWA (Constraint Optimized Weight Adaptation) which has never been compared to the GMRC. We note situations that could yield invalid results (i.e., reduced mixtures having negative weight components) and offer corrections to this problem. We also...
An emerging application field for structure matching is related to in silico studies of molecular biology: considering that protein function is mainly related to its external morphology, the possibility to match macromolecular surfaces is very important to infer information about the interaction of biological components. In this work we present a parallel algorithm based on images of local description,...
The appearance of patterns could be found in different modalities of a domain, where the different modalities refer to the data sources that constitute different aspects of a domain. Particularly, the domain of our discussion refers to crime and the different modalities refer to the different data sources such as offender data, weapon data, etc. in crime domain. In addition, patterns also exist in...
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