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The choice of a good clustering algorithm is vital in many tasks to optimize results. Nowadays, the most used algorithms use only one strategy to find and form the clusters of data, which can limit the effectiveness of the process. This paper presents a new approximation to clustering, called Essence-Based Clustering, that combines multiple strategies in a series of steps, allowing two levels of configuration...
This paper presents an exploratory data analysis to evaluate how spatial information can be used to extract homogeneous regions in hyperspectral images. The basic assumption on the linear unmixing model applied to hyperspectral images, is that the pixels are in the convex hull of the cone with the endmembers at its vertices. Several spectral unmixing algorithms look for a single convex region to depict...
Brain Computer Interfaces allow the interaction between a person and their environment using signals extracted directly from the brain. One of the most common non-invasive methods of brain signal acquisition is the electroencephalography (EEG). An EEG based BCI system requires the processing and translation of the EEG signal into significant features that could be converted into commands for the external...
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