| Presentation | 2018-06-13 Feature scaling in spectral classification of high dimensional data Momo Matsuda, Keiichi Morikuni, Akira Imakura, Tetsuya Sakurai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We consider the classification problem for high dimensional data. Using prior knowledge on the labels of partial samples, we formulate an eigenvalue problem of a linear matrix pencil whose eigenvector has factors (scaling factors) for aggressively modifying the scales of the features. We propose a spectral classification method that realizes high classification accuracy by applying the scaling factors obtained by solving this eigenvalue problem to the whole data. We give numerical experiments for gene expression data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | data mining / supervised learning / dimensionality reduction / classification problem |
| Paper # | IBISML2018-2 |
| Date of Issue | 2018-06-06 (IBISML) |
| Conference Information | |
| Committee | NC / IBISML / IPSJ-BIO / IPSJ-MPS |
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| Conference Date | 2018/6/13(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Yutaka Hirata(Chubu Univ.) / Hisashi Kashima(Kyoto Univ.) |
| Vice Chair | Hayaru Shouno(UEC) / Masashi Sugiyama(Univ. of Tokyo) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Hayaru Shouno(Nagoya Univ.) / Masashi Sugiyama(NAIST) / Koji Tsuda(Nagoya Inst. of Tech.) / (AIST) |
| Assistant | Keiichiro Inagaki(Chubu Univ.) / Takashi Shinozaki(NICT) / Tomoharu Iwata(NTT) / Shigeyuki Oba(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Bioinformatics and Genomics / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature scaling in spectral classification of high dimensional data |
| Sub Title (in English) | |
| Keyword(1) | data mining |
| Keyword(2) | supervised learning |
| Keyword(3) | dimensionality reduction |
| Keyword(4) | classification problem |
| 1st Author's Name | Momo Matsuda |
| 1st Author's Affiliation | University of Tsukuba(Univ. Tsukuba) |
| 2nd Author's Name | Keiichi Morikuni |
| 2nd Author's Affiliation | University of Tsukuba(Univ. Tsukuba) |
| 3rd Author's Name | Akira Imakura |
| 3rd Author's Affiliation | University of Tsukuba(Univ. Tsukuba) |
| 4th Author's Name | Tetsuya Sakurai |
| 4th Author's Affiliation | University of Tsukuba(Univ. Tsukuba) |
| Date | 2018-06-13 |
| Paper # | IBISML2018-2 |
| Volume (vol) | vol.118 |
| Number (no) | IBISML-81 |
| Page | pp.pp.9-14(IBISML), |
| #Pages | 6 |
| Date of Issue | 2018-06-06 (IBISML) |