The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
클러스터링은 유전자 발현 프로필과 같은 여러 데이터에서 계열 데이터에 대한 일반적인 보기를 얻는 데 필수적입니다. 우리는 클러스터링을 위한 새로운 측정 기준을 제안합니다. 제안된 메트릭은 데이터 시리즈 간의 로그 스케일 거리를 최소화하기 위해 데이터를 자동으로 정규화합니다.
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부
Shigeyuki MITSUI, Katsumi SAKATA, Hiroya NOBORI, Setsuko KOMATSU, "A Novel Metric Embedding Optimal Normalization Mechanism for Clustering of Series Data" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 9, pp. 2369-2371, September 2008, doi: 10.1093/ietisy/e91-d.9.2369.
Abstract: Clustering is indispensable to obtain a general view of series data from a number of data such as gene expression profiles. We propose a novel metric for clustering. The proposed metric automatically normalizes data to minimize a logarithmic scale distance between the data series.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.9.2369/_p
부
@ARTICLE{e91-d_9_2369,
author={Shigeyuki MITSUI, Katsumi SAKATA, Hiroya NOBORI, Setsuko KOMATSU, },
journal={IEICE TRANSACTIONS on Information},
title={A Novel Metric Embedding Optimal Normalization Mechanism for Clustering of Series Data},
year={2008},
volume={E91-D},
number={9},
pages={2369-2371},
abstract={Clustering is indispensable to obtain a general view of series data from a number of data such as gene expression profiles. We propose a novel metric for clustering. The proposed metric automatically normalizes data to minimize a logarithmic scale distance between the data series.},
keywords={},
doi={10.1093/ietisy/e91-d.9.2369},
ISSN={1745-1361},
month={September},}
부
TY - JOUR
TI - A Novel Metric Embedding Optimal Normalization Mechanism for Clustering of Series Data
T2 - IEICE TRANSACTIONS on Information
SP - 2369
EP - 2371
AU - Shigeyuki MITSUI
AU - Katsumi SAKATA
AU - Hiroya NOBORI
AU - Setsuko KOMATSU
PY - 2008
DO - 10.1093/ietisy/e91-d.9.2369
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2008
AB - Clustering is indispensable to obtain a general view of series data from a number of data such as gene expression profiles. We propose a novel metric for clustering. The proposed metric automatically normalizes data to minimize a logarithmic scale distance between the data series.
ER -