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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/13518

Title: Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering
Author: Greene, Derek
Cunningham, Pádraig
Keywords: Computer Science
Issue Date: 7-Feb-2006
Publisher: Trinity College Dublin, Department of Computer Science
Citation: Greene, Derek; Cunningham, Pádraig. 'Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2006-04, 2006, pp14
Series/Report no.: Computer Science Technical Report
TCD-CS-2006-04
Abstract: In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to the off-diagonal entries. This problem, referred to as diagonal dominance, often occurs when certain kernel functions are applied to sparse high-dimensional data, such as text corpora. In this paper we investigate the implications of diagonal dominance for unsupervised kernel methods, specifically in the task of document clustering. We discuss a selection of strategies for addressing this issue, and evaluate their effectiveness in producing more accurate and stable clusterings.
URI: https://www.cs.tcd.ie/publications/tech-reports/reports.06/TCD-CS-2006-04.pdf
http://hdl.handle.net/2262/13518
Appears in Collections:Computer Science Technical Reports

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