CLASSIFICATION SYSTEM
[Problem] Provided is a classification system that outputs classification results of data to be classified and factor scores corresponding to eigenvectors of a correlation index matrix together so that the validity of the classification results can be examined.[Solving Means] The classification syst...
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creator | Himeno Shinkichi |
description | [Problem] Provided is a classification system that outputs classification results of data to be classified and factor scores corresponding to eigenvectors of a correlation index matrix together so that the validity of the classification results can be examined.[Solving Means] The classification system includes correlation index matrix creation means configured to obtain correlation indexes of combinations of elements forming classification training data and to convert the correlation indexes into a matrix form and correlation index matrix eigenvector calculation means configured to obtain eigenvectors from the correlation index matrix. Data-to-be-classified acquisition means newly inputs data to be classified, to trained classification means, and classification result output means included in the trained classification means outputs classification results of the data to be classified and factor scores corresponding to eigenvectors of a corresponding correlation index matrix together so that validity of the classification results can be examined. |
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Data-to-be-classified acquisition means newly inputs data to be classified, to trained classification means, and classification result output means included in the trained classification means outputs classification results of the data to be classified and factor scores corresponding to eigenvectors of a corresponding correlation index matrix together so that validity of the classification results can be examined.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231108&DB=EPODOC&CC=EP&NR=4273764A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,778,883,25551,76302</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20231108&DB=EPODOC&CC=EP&NR=4273764A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Himeno Shinkichi</creatorcontrib><title>CLASSIFICATION SYSTEM</title><description>[Problem] Provided is a classification system that outputs classification results of data to be classified and factor scores corresponding to eigenvectors of a correlation index matrix together so that the validity of the classification results can be examined.[Solving Means] The classification system includes correlation index matrix creation means configured to obtain correlation indexes of combinations of elements forming classification training data and to convert the correlation indexes into a matrix form and correlation index matrix eigenvector calculation means configured to obtain eigenvectors from the correlation index matrix. Data-to-be-classified acquisition means newly inputs data to be classified, to trained classification means, and classification result output means included in the trained classification means outputs classification results of the data to be classified and factor scores corresponding to eigenvectors of a corresponding correlation index matrix together so that validity of the classification results can be examined.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZBB19nEMDvZ083R2DPH091MIjgwOcfXlYWBNS8wpTuWF0twMCm6uIc4euqkF-fGpxQWJyal5qSXxrgEmRubG5mYmjobGRCgBAG-cHrc</recordid><startdate>20231108</startdate><enddate>20231108</enddate><creator>Himeno Shinkichi</creator><scope>EVB</scope></search><sort><creationdate>20231108</creationdate><title>CLASSIFICATION SYSTEM</title><author>Himeno Shinkichi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4273764A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Himeno Shinkichi</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Himeno Shinkichi</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>CLASSIFICATION SYSTEM</title><date>2023-11-08</date><risdate>2023</risdate><abstract>[Problem] Provided is a classification system that outputs classification results of data to be classified and factor scores corresponding to eigenvectors of a correlation index matrix together so that the validity of the classification results can be examined.[Solving Means] The classification system includes correlation index matrix creation means configured to obtain correlation indexes of combinations of elements forming classification training data and to convert the correlation indexes into a matrix form and correlation index matrix eigenvector calculation means configured to obtain eigenvectors from the correlation index matrix. Data-to-be-classified acquisition means newly inputs data to be classified, to trained classification means, and classification result output means included in the trained classification means outputs classification results of the data to be classified and factor scores corresponding to eigenvectors of a corresponding correlation index matrix together so that validity of the classification results can be examined.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
title | CLASSIFICATION SYSTEM |
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