کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
9424287 1295258 2005 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Unsupervised clustering algorithm for N-dimensional data
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
Unsupervised clustering algorithm for N-dimensional data
چکیده انگلیسی
Cluster analysis is an important tool for classifying data. Established techniques include k-means and k-median cluster analysis. However, these methods require the user to provide a priori estimations of the number of clusters and their approximate location in the parameter space. Often these estimations can be made based on some prior understanding about the nature of the data. Alternatively, the user makes these estimations based on visualization of the data. However, the latter is problematic in data sets with large numbers of dimensions. Presented here is an algorithm that can automatically provide these estimates without human intervention based on the inherent structure of the data set. The number of dimensions does not limit it.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 144, Issue 1, 15 May 2005, Pages 19-24
نویسندگان
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