Shankar TM IR
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8/8/2019 Shankar TM IR http://slidepdf.com/reader/full/shankar-tm-ir 1/7 A Feature Weight Adjustment Algorithm for Document Categorization Shrikanth Shankar University of Minnesota, Department of Computer Science Minneapolis, MN 55455 [email protected] George Karypis University of Minnesota, Department of Computer Science / Army HPC Research Center Minneapolis, MN 55455 [email protected] ABSTRACT 1. INTRODUCTION
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Transcript of Shankar TM IR
8/8/2019 Shankar TM IR
http://slidepdf.com/reader/full/shankar-tm-ir 1/7
A Feature Weight Adjustment Algorithm for DocumentCategorization
Shrikanth ShankarUniversity of Minnesota, Department of
Computer ScienceMinneapolis, MN 55455
George KarypisUniversity of Minnesota, Department of
Computer Science / Army HPC Research CenterMinneapolis, MN 55455
ABSTRACT
1. INTRODUCTION
Æ
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2. CENTROID-BASED DOCUMENT CLAS-
SIFIER
3. WEIGHTADJUSTMENT FORCENTROID
BASED CLASSIFIER
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Æ
Æ
Æ
Æ
Æ
Discussion
3.1 Binary Classification
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Æ
0.097
0.0975
0.098
0.0985
0.099
0.0995
0.1
0.1005
0.101
0.1015
0.102
0.1025
0 1 2 3 4 5 6 7 8 9
0.0299
0.03
0.0301
0.0302
0.0303
0.0304
0.0305
0 1 2 3 4 5 6 7 8 90.85
0.86
0.87
0.88
0.89
0.9
0.91
0.92
0.93
0.94
0.95
0 1 2 3 4 5 6 7 8 9
(A) (B) (C)
4. EXPERIMENTAL SETUP ANDRESULTS
Æ
4.1 Reuters
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4.2 OHSUMED results
4.3 Efficiency
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5. CONCLUSION
6. REFERENCES
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