| Presentation | 2018-06-13 Post Clustering Inference, with Application to Single Cell Analysis Shigenori Inoue, Yuta Umezu, Shouma Tsubota, Ichiro Takeuchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | There are many data with several subgroups, such as customer data and gene expression data and so on. One way to analyze such data is clustering. It aims to divide the data into several clusters based on the similarity of samples and obtain knowledge on the resulting clusters. Therefore, examining the features of each cluster from the result of clustering is a very important task for understanding the essential structure of data. Various clustering methods have been studied so far, but none of them have focused on statistical guarantee for the features after clustering. In this study, we develop the framework of selective inference for a hypothesis testing problem of the features in each cluster after $K$-means clustering. We confirm the usefulness of the proposed method through synthetic data and single cell data analysis. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Hypothesis Testing / $K$-means Clustering / Post Selection Inference / Single Cell Data |
| Paper # | IBISML2018-3 |
| 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) | Post Clustering Inference, with Application to Single Cell Analysis |
| Sub Title (in English) | |
| Keyword(1) | Hypothesis Testing |
| Keyword(2) | $K$-means Clustering |
| Keyword(3) | Post Selection Inference |
| Keyword(4) | Single Cell Data |
| 1st Author's Name | Shigenori Inoue |
| 1st Author's Affiliation | Nagoya Institute of Technology(NIT) |
| 2nd Author's Name | Yuta Umezu |
| 2nd Author's Affiliation | Nagoya Institute of Technology(NIT) |
| 3rd Author's Name | Shouma Tsubota |
| 3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 4th Author's Name | Ichiro Takeuchi |
| 4th Author's Affiliation | Nagoya Institute of Technology/RIKEN/National Institute for Materials Science(NIT/RIKEN/NIMS) |
| Date | 2018-06-13 |
| Paper # | IBISML2018-3 |
| Volume (vol) | vol.118 |
| Number (no) | IBISML-81 |
| Page | pp.pp.15-22(IBISML), |
| #Pages | 8 |
| Date of Issue | 2018-06-06 (IBISML) |