کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
416870 | 681413 | 2006 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Effect of using principal coordinates and principal components on retrieval of clusters
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Effect of using principal coordinates and principal components on retrieval of clusters Effect of using principal coordinates and principal components on retrieval of clusters](/preview/png/416870.png)
چکیده انگلیسی
Principal coordinate analysis is a more powerful technique than principal component analysis to ensure identification on groups of objects if some conditions are satisfied. The results of using principal coordinates prior to cluster analysis were investigated. Three different methods of standardization were examined and compared with no standardization using both principal coordinates and principal components. The retrieval abilities of the known agglomerative clustering algorithms were improved by using principal coordinates. The results of applying principal coordinates based on the correlation coefficient instead of Euclidean distance prior to clustering algorithms were less sensitive to changes in noise.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 50, Issue 6, 10 March 2006, Pages 1407–1417
Journal: Computational Statistics & Data Analysis - Volume 50, Issue 6, 10 March 2006, Pages 1407–1417
نویسندگان
Seong S. Chae, William D. Warde,