Some investigations on the LDA when handling large number of variable
Linear discriminant analysis (LDA) has been used widely in many classification problems.This paper discusses the performances of LDA when the classification problems face with large number of variables.Two common strategies for constructing LDA are investigated: (i) some selected variables are use...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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2010
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| Online Access: | https://repo.uum.edu.my/id/eprint/5193/1/hashibah1-1.pdf |
| _version_ | 1825801743454175232 |
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| author | Hamid, Hashibah Mahat, Nor Idayu |
| author_facet | Hamid, Hashibah Mahat, Nor Idayu |
| author_sort | Hamid, Hashibah |
| collection | UUM |
| description | Linear discriminant analysis (LDA) has been used widely in many classification problems.This paper discusses the
performances of LDA when the classification problems face with large number of variables.Two common strategies
for constructing LDA are investigated: (i) some selected variables are used and (ii) all variables are combined
systematically, in such a way that the performance of LDA is optimised.These strategies are studied on some example
data sets through the leave-one-out procedure.The results indicate that, the performance of LDA with the combination
of variables is the best based on the leave-one-out error rate. |
| first_indexed | 2024-07-04T05:27:05Z |
| format | Conference or Workshop Item |
| id | uum-5193 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:27:05Z |
| publishDate | 2010 |
| record_format | eprints |
| spelling | uum-51932012-02-29T09:41:29Z https://repo.uum.edu.my/id/eprint/5193/ Some investigations on the LDA when handling large number of variable Hamid, Hashibah Mahat, Nor Idayu QA Mathematics Linear discriminant analysis (LDA) has been used widely in many classification problems.This paper discusses the performances of LDA when the classification problems face with large number of variables.Two common strategies for constructing LDA are investigated: (i) some selected variables are used and (ii) all variables are combined systematically, in such a way that the performance of LDA is optimised.These strategies are studied on some example data sets through the leave-one-out procedure.The results indicate that, the performance of LDA with the combination of variables is the best based on the leave-one-out error rate. 2010-06-22 Conference or Workshop Item NonPeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/5193/1/hashibah1-1.pdf Hamid, Hashibah and Mahat, Nor Idayu (2010) Some investigations on the LDA when handling large number of variable. In: Proceedings of Applied Mathematics International Conference 2010 (AMIC 2010) & The Sixth EASIAM Conference ), June 22th - 24th, 2010, PNB Darby Park, MALAYSIA. (Unpublished) |
| spellingShingle | QA Mathematics Hamid, Hashibah Mahat, Nor Idayu Some investigations on the LDA when handling large number of variable |
| title | Some investigations on the LDA when handling large number of variable |
| title_full | Some investigations on the LDA when handling large number of variable |
| title_fullStr | Some investigations on the LDA when handling large number of variable |
| title_full_unstemmed | Some investigations on the LDA when handling large number of variable |
| title_short | Some investigations on the LDA when handling large number of variable |
| title_sort | some investigations on the lda when handling large number of variable |
| topic | QA Mathematics |
| url | https://repo.uum.edu.my/id/eprint/5193/1/hashibah1-1.pdf |
| work_keys_str_mv | AT hamidhashibah someinvestigationsontheldawhenhandlinglargenumberofvariable AT mahatnoridayu someinvestigationsontheldawhenhandlinglargenumberofvariable |