Image segmentation is an essential issue in image description and classification. Currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. Moreover, there are many uncertainties and vagueness in images, which crisp clustering and even Type-1 fuzzy clustering could not handle. Hence, Type-...

image segmentation is an essential issue in image description and classification. currently, in many real applications, segmentation is still mainly manual or strongly supervised by a human expert, which makes it irreproducible and deteriorating. moreover, there are many uncertainties and vagueness in images, which crisp clustering and even type-1 fuzzy clustering could not handle. hence, type-...

background: since the industrial revolution, the rate of industrialization and urbanization has increased dramatically. regarding this issue, specific regions mostly located in developing countries have been confronted with serious problems, particularly environmental problems among which air pollution is of high importance. methods: eleven parameters, including co, so 2 , pm 10 , pm 2.5 , o 3 ...

In this paper, an effective and efficient model-based 2-clustering approach using Fisher kernel based similarities [2][3] is proposed. The Fisher kernel is derived from the knowledge of the family of the distribution generating the data. In the proposed approach, we refrain from trying to estimate the parameters of the unknown mixture distributions generating the data using the EM algorithm. In...