Sector classification through non-Gaussian similarity

Classification based on 3-similarity

Similarity concept, finding the resemblance or classifying some groups of objects and study their common properties has been the interest of many researchers. Basically, in the studies the similarity between two objects or phenomena, 2-similarity in our words, has been discussed. In this paper, we consider the case when the resemblance or similarity among three objects or phenomena of a set, 3-...

Classification Based on Similarity and Dissimilarity through Equivalence Classes

In this paper we first briefly review the literature on similarity relations, and then introduce a dissimilarity relation between a pair of elements in a specific domain. Since in some cases recognizing dissimilarity is easier than similarity, we try to find a connection between these relations based on specific functions.

Unsupervised Classification with Non-Gaussian Mixture Models Using ICA

We present an unsupervised classification algorithm based on an ICA mixture model. The ICA mixture model assumes that the observed data can be categorized into several mutually exclusive data classes in which the components in each class are generated by a linear mixture of independent sources. The algorithm finds the independent sources, the mixing matrix for each class and also computes the c...

Classification of non-Gaussian diffusion profiles for HARDI data simplification

INTRODUCTION: High angular resolution diffusion imaging (HARDI) is able to capture the water diffusion pattern in areas of complex intravoxel fiber configurations. However, compared to diffusion tensor imaging (DTI), HARDI adds extra complexity (e.g., high post-processing time and memory costs, nonintuitive visualization). Separating the data into Gaussian and non-Gaussian areas can allow using...

Signal Detection and Modulation Classification in Non-Gaussian Noise Environments