کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4969980 1450029 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
k-means clustering with outlier removal
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
k-means clustering with outlier removal
چکیده انگلیسی
Outlier detection is an important data analysis task in its own right and removing the outliers from clusters can improve the clustering accuracy. In this paper, we extend the k-means algorithm to provide data clustering and outlier detection simultaneously by introducing an additional “cluster” to the k-means algorithm to hold all outliers. We design an iterative procedure to optimize the objective function of the proposed algorithm and establish the convergence of the iterative procedure. Numerical experiments on both synthetic data and real data are provided to demonstrate the effectiveness and efficiency of the proposed algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 90, 15 April 2017, Pages 8-14
نویسندگان
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