کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4943638 1437638 2017 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
General split gaussian Cross-Entropy clustering
ترجمه فارسی عنوان
تقسیم خوشه تقسیم گاوس صلیب آنتروپی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Robust mixture models approaches, which use non-normal distributions have recently been upgraded to accommodate asymmetric data. In this article we propose a new method based on the General Split Gaussian distribution (GSG) and Cross-Entropy Clustering (CEC). The GSG is a flexible density with reasonably small number of parameters which are easy to estimate. We combine the model with a clustering method which allows to treat groups separately and estimate parameters individually in each cluster. Consequently, we introduce an effective clustering algorithm which deals with non-normal data.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 68, February 2017, Pages 58-68
نویسندگان
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