| Presentation | 2005/7/25 Architecture for Visualization Using Teacher Information based on SOM : Empirical Studies on Visualizing Time Series of Medical Data Kenichi FUKUI, Kazumi SAITO, Masahiro KIMURA, Masayuki NUMAO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose an architecture for visualization that constructs the map suggesting the cluster in a sequence that involves in classification by utilizing the teacher information for the display method of the map, while making the best use of the characteristics of Self-Organizing Maps (SOM) that are to create clusters and to arrange the similar clusters near within the low dimensional map. This proposal method consists of 2 learning phases, firstly the sequence of the winner neurons are obtained by SOM, secondly connectivity weights are obtained by perceptron, finally the map is visualized by reversing the obtained weights into the map. In the experiments using time series of real-world medial data, we evaluate the visualization and classification performance by comparing the display method by the ratio of classes. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self-Organizing Maps / Teacher Information / Perceptron / Visual Data Mining / Time Series / Medical Data |
| Paper # | AI2005-10 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2005/7/25(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 | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Architecture for Visualization Using Teacher Information based on SOM : Empirical Studies on Visualizing Time Series of Medical Data |
| Sub Title (in English) | |
| Keyword(1) | Self-Organizing Maps |
| Keyword(2) | Teacher Information |
| Keyword(3) | Perceptron |
| Keyword(4) | Visual Data Mining |
| Keyword(5) | Time Series |
| Keyword(6) | Medical Data |
| 1st Author's Name | Kenichi FUKUI |
| 1st Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University() |
| 2nd Author's Name | Kazumi SAITO |
| 2nd Author's Affiliation | NTT Communication Science Laboratories |
| 3rd Author's Name | Masahiro KIMURA |
| 3rd Author's Affiliation | Department of Electronics and Informatics, Ryukoku University |
| 4th Author's Name | Masayuki NUMAO |
| 4th Author's Affiliation | The Institute of Scientific and Industrial Research, Osaka University |
| Date | 2005/7/25 |
| Paper # | AI2005-10 |
| Volume (vol) | vol.105 |
| Number (no) | 224 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |