| Presentation | 2003/9/8 Kernel PCA for Categorical Data Hirotaka Niitsuma, Takashi Okada, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Gini ' s definition of variance for categorical data was " naturally" extended to covariance for mixed categorical and numerical data. In this research, we describe a procedure for calculating the covariance. Using this covariance, kernel PCA for categorical data is introduced. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Categorical data / kernel / PCA |
| Paper # | AI2003-45 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2003/9/8(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Kernel PCA for Categorical Data |
| Sub Title (in English) | |
| Keyword(1) | Categorical data |
| Keyword(2) | kernel |
| Keyword(3) | PCA |
| 1st Author's Name | Hirotaka Niitsuma |
| 1st Author's Affiliation | KWANSEI GAKUIN UNIVERSITY() |
| 2nd Author's Name | Takashi Okada |
| 2nd Author's Affiliation | KWANSEI GAKUIN UNIVERSITY |
| Date | 2003/9/8 |
| Paper # | AI2003-45 |
| Volume (vol) | vol.103 |
| Number (no) | 305 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |