1. Shodhganga@INFLIBNET
  2. University of Hyderabad
  3. Department of Computer & Information Sciences
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26427
Title: Feature partitioning approaches to principal component analysis
Researcher: Vijaya Kumar, K
Guide(s): Negi , Atul
Keywords: Component analysis
Approaches
Feature partitioning
Upload Date: 10-Oct-2014
University: University of Hyderabad
Completed Date: 2009
Abstract: Available
Pagination: xxxi, 319p.
URI: http://hdl.handle.net/10603/26427
Appears in Departments:Department of Computer & Information Sciences

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01_title.pdfAttached File43.75 kBAdobe PDFView/Open
02_certificate.pdf15.7 kBAdobe PDFView/Open
03_declaration.pdf4.24 kBAdobe PDFView/Open
04_acknowledgement.pdf34.85 kBAdobe PDFView/Open
05_dedication.pdf21.21 kBAdobe PDFView/Open
06_abstract.pdf37.66 kBAdobe PDFView/Open
07_content.pdf44.68 kBAdobe PDFView/Open
08_list of figures.pdf107.93 kBAdobe PDFView/Open
09_list of tables.pdf20.59 kBAdobe PDFView/Open
10_citations to previously published work from this thesis.pdf40.62 kBAdobe PDFView/Open
11_notation.pdf75.07 kBAdobe PDFView/Open
12_abbreviation.pdf36.6 kBAdobe PDFView/Open
13_chapter 1.pdf296.85 kBAdobe PDFView/Open
14_chapter 2.pdf360.25 kBAdobe PDFView/Open
15_chapter 3.pdf302.15 kBAdobe PDFView/Open
16_chapter 4.pdf443.92 kBAdobe PDFView/Open
17_chapter 5.pdf468.19 kBAdobe PDFView/Open
18_chapter 6.pdf524.78 kBAdobe PDFView/Open
19_chapter 7.pdf335.35 kBAdobe PDFView/Open
20_chapter 8.pdf239.07 kBAdobe PDFView/Open
21_chapter 9.pdf36.07 kBAdobe PDFView/Open
22_bibliography.pdf152.6 kBAdobe PDFView/Open
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