Supervised and Unsupervised Classification Using Mixture Models
نویسندگان
چکیده
منابع مشابه
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of independent, non-Gaussian densities. The algorithm estimates the data density in each class by using parametric nonlinear functions that fit to the non-Gaussian structure of the data. This improves classification accur...
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ژورنال
عنوان ژورنال: EAS Publications Series
سال: 2016
ISSN: 1633-4760,1638-1963
DOI: 10.1051/eas/1677005