The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 26, 2022

Filed:

Jun. 08, 2017
Applicants:

Shimadzu Corporation, Kyoto, JP;

Teikyo University, Itabashi-ku, JP;

Inventors:

Masaaki Matsuura, Koto-ku, JP;

Yuichiro Fujita, Kyotanabe, JP;

Shigeki Kajihara, Uji, JP;

Assignees:

Shimadzu Corporation, Kyoto, JP;

Teikyo University, Itabashi-ku, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 31/00 (2006.01); H01J 49/00 (2006.01); G06F 16/28 (2019.01); G16C 20/70 (2019.01); G16B 40/10 (2019.01); G16C 20/20 (2019.01);
U.S. Cl.
CPC ...
H01J 49/0036 (2013.01); G01N 31/00 (2013.01); G06F 16/287 (2019.01); G16B 40/10 (2019.02); G16C 20/70 (2019.02); G01N 2800/7028 (2013.01); G16C 20/20 (2019.02);
Abstract

Provided is a method for sorting a number of samples into an appropriate number of clusters according to their characteristics. Highly-correlated peaks are extracted from mass spectrum data obtained for the samples (S). Using the extracted peaks, highly-correlated sample pairs are extracted (S). While removing samples having low degrees of correlation, highly-correlated sample pairs are integrated to form core clusters (S). Using singular peaks characterizing each core cluster, two or more core clusters are integrated to form clusters (S-S). These clusters include mixed clusters in which two or more clusters are mixed. Member determination formulae are created based on the singular peaks of each cluster (S-S). All samples, including those which have been excluded from the cluster determination process, are classified into clusters based on the member determination formulae (S). The member determination formulae can also be used to assign a new sample to one of the cluster.


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