کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
409417 679072 2006 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sparse ICA via cluster-wise PCA
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Sparse ICA via cluster-wise PCA
چکیده انگلیسی

In this paper, it is shown that independent component analysis (ICA) of sparse signals (sparse ICA) can be seen as a cluster-wise principal component analysis (PCA). Consequently, Sparse ICA may be done by a combination of a clustering algorithm and PCA. For the clustering part, we use, in this paper, an algorithm inspired from K-means. The final algorithm is easy to implement for any number of sources. Experimental results points out the good performance of the method, whose the main restriction is to request an exponential growing of the sample number as the number of sources increases.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 69, Issues 13–15, August 2006, Pages 1458–1466
نویسندگان
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