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Text Classification: Combining Grouping, LSA and kNN vs Support Vector Machine.

, , , , and . KES (2), volume 4252 of Lecture Notes in Computer Science, page 393-400. Springer, (2006)

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Classification by Weighting, Similarity and kNN., , , and . IDEAL, volume 4224 of Lecture Notes in Computer Science, page 57-64. Springer, (2006)Improving Performance of the K-Nearest Neighbor Classification by Tolerant Rough Sets., , and . CODAS, page 183-188. IEEE Computer Society, (2001)Mapping of nearest neighbor for classification., , , and . ICIS, page 71-76. IEEE Computer Society, (2013)Classification by Instance-Based Learning Algorithm., , , and . IDEAL, volume 3578 of Lecture Notes in Computer Science, page 133-140. Springer, (2005)Text Classification: Combining Grouping, LSA and kNN vs Support Vector Machine., , , , and . KES (2), volume 4252 of Lecture Notes in Computer Science, page 393-400. Springer, (2006)Data Partition for Text Classification Based on Rough Sets., , and . SNPD, page 382-. ACIS, (2003)Classification by Rough Set Reducts, AdaBoost and SVM., , , and . SNPD, page 63-68. IEEE Computer Society, (2010)Modified Reduct: Nearest Neighbor Classification., , , and . ACIS-ICIS, page 310-315. IEEE Computer Society, (2012)Classification by Multiple Reducts-kNN with Confidence., , , and . IDEAL, volume 6283 of Lecture Notes in Computer Science, page 94-101. Springer, (2010)Modified Reducts and Their Processing for Nearest Neighbor Classification., , , and . IDEAL, volume 7435 of Lecture Notes in Computer Science, page 753-762. Springer, (2012)