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U-Control Chart Based Differential Evolution Clustering for Determining the Number of Cluster in k-Means
(International Conference on Green, Pervasive, and Cloud Computing, 2019)
Audio-Visual Automatic Speech Recognition Towards Education for Disabilities
Education is a fundamental right that enriches everyone’s life. However, physically challenged people often debar from the general and advanced education system. Audio-Visual Automatic Speech Recognition (AV-ASR) based ...
Multi-objective clustering ensemble for gene expression data analysis
(ELSEVIER SCIENCE BV, 2009)
In this paper, we present an algorithm for cluster analysis that integrates aspects from cluster ensemble and multi-objective clustering. The algorithm is based on a Pareto-based multi-objective genetic algorithm, with a ...
Interpretation of stabilization diagrams using density-based clustering algorithm
(Elsevier, 2019)
The estimation of modal parameters is a critical requirement in structural health monitoring, damage detection, design validation, among other topics. The most prevalent methodology for manual identification is via an ...
Automatic Irony Detection using Feature Fusion and Ensemble Classifier
With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ...
Unity cluster package – dragging and dropping components for multi-projection virtual reality applications based on PC clusters
(2015-01-01)
Virtual Reality applications created using game engines allow developers to quickly come up with a prototype that runs on a wide variety of systems, achieve high quality graphics, and supportmultiple devices easily. This ...
Pipeline evaluation of clustering algorithms aimed at clinical data
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-05-22)
Disease understanding is key in designing effective treatments and diagnostic tools. A key aspect of this understanding is grouping the patients according to their phenotypes. Phenotypes are patterns in the characteristics ...
Comparative Study of Clustering Algorithms in Text Mining Context
The spectacular increasing of Data is due to
the appearance of networks and smartphones. Amount 42% of
world population using internet [1]; have created a problem
related of the processing of the data exchanged, which ...