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Paper Abstract and Keywords
Presentation 2022-01-18 13:40
More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis
Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) IBISML2021-25
Abstract (in Japanese) (See Japanese page) 
(in English) K-means clustering is the most famous clustering method because of its simplicity, and it has been applied to a wide range of fields.
Therefore, in actual analysis, the clustering results themselves are rarely useful, and it is important to gain some knowledge about the obtained results.
Therefore, in order to understand the essential structure of the data, it is often necessary to examine the features of each cluster obtained.
Therefore, Post Clustering Inference (PCI) has been proposed as an inference method after K-means clustering.
PCI can control the type I error, but its low power is a problem.
In this paper, we propose a method that overcomes this problem by combining parametric search methods and PCI, and significantly improves the detection power.
Keyword (in Japanese) (See Japanese page) 
(in English) conditional SI / data-driven hypothesis / K-means clustering / Single Cell Analysis / statistical power / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 321, IBISML2021-25, pp. 54-60, Jan. 2022.
Paper # IBISML2021-25 
Date of Issue 2022-01-10 (IBISML) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IBISML2021-25

Conference Information
Committee IBISML  
Conference Date 2022-01-17 - 2022-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning, etc. 
Paper Information
Registration To IBISML 
Conference Code 2022-01-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis 
Sub Title (in English)  
Keyword(1) conditional SI  
Keyword(2) data-driven hypothesis  
Keyword(3) K-means clustering  
Keyword(4) Single Cell Analysis  
Keyword(5) statistical power  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Mizuki Sato  
1st Author's Affiliation Nagoya Institute Of Technology (NITech)
2nd Author's Name Yumehiro Omori  
2nd Author's Affiliation Nagoya Institute Of Technology (NITech)
3rd Author's Name Yu Inatsu  
3rd Author's Affiliation Nagoya Institute Of Technology (NITech)
4th Author's Name Ichiro Takeuchi  
4th Author's Affiliation Nagoya Institute Of Technology (NITech)
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Speaker Author-1 
Date Time 2022-01-18 13:40:00 
Presentation Time 20 minutes 
Registration for IBISML 
Paper # IBISML2021-25 
Volume (vol) vol.121 
Number (no) no.321 
Page pp.54-60 
#Pages 7 
Date of Issue 2022-01-10 (IBISML) 

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