کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
475471 | 699311 | 2007 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
K-T.R.A.C.E: A kernel kk-means procedure for classification
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
In a computational context, classification refers to assigning objects to different classes with respect to their features, which can be mapped to qualitative or quantitative variables. Several techniques have been developed recently to map the available information into a set of features (feature space) that improve the classification performance. Kernel functions provide a nonlinear mapping that implicitly transforms the input space to a new feature space where data can be separated, clustered and classified more easily. In this paper a kernel revised version of the Total Recognition by Adaptive Classification Experiments (T.R.A.C.E) algorithm, an iterative kk-means like classification algorithm is presented.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 34, Issue 10, October 2007, Pages 3154–3161
Journal: Computers & Operations Research - Volume 34, Issue 10, October 2007, Pages 3154–3161
نویسندگان
C. Cifarelli, L. Nieddu, O. Seref, P.M. Pardalos,