METHOD FOR SUMMARIZED VIEWING OF LARGE NUMBERS OF PERFORMANCE METRICS WHILE RETAINING COGNIZANCE OF POTENTIALLY SIGNIFICANT DEVIATIONS
A method is disclosed for determining with computing apparatus an adequate number of clusters for summarizing result data that includes a large number of observation data points. The summary data includes a small number of samples of data from each cluster with the number of clusters being large eno...
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creator | MEHLBERG STEVEN G GUENTHNER RUSSELL W BROWN F. MICHEL |
description | A method is disclosed for determining with computing apparatus an adequate number of clusters for summarizing result data that includes a large number of observation data points. The summary data includes a small number of samples of data from each cluster with the number of clusters being large enough to provide a good summary of all the result data without being so large as to make it difficult for one skilled in the art to examine visually all of the summary data generated by the computing apparatus. |
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MICHEL</creator><creatorcontrib>MEHLBERG STEVEN G ; GUENTHNER RUSSELL W ; BROWN F. MICHEL</creatorcontrib><description>A method is disclosed for determining with computing apparatus an adequate number of clusters for summarizing result data that includes a large number of observation data points. The summary data includes a small number of samples of data from each cluster with the number of clusters being large enough to provide a good summary of all the result data without being so large as to make it difficult for one skilled in the art to examine visually all of the summary data generated by the computing apparatus.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2015</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=20150618&DB=EPODOC&CC=US&NR=2015169732A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25555,76308</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20150618&DB=EPODOC&CC=US&NR=2015169732A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MEHLBERG STEVEN G</creatorcontrib><creatorcontrib>GUENTHNER RUSSELL W</creatorcontrib><creatorcontrib>BROWN F. 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MICHEL</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MEHLBERG STEVEN G</au><au>GUENTHNER RUSSELL W</au><au>BROWN F. MICHEL</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>METHOD FOR SUMMARIZED VIEWING OF LARGE NUMBERS OF PERFORMANCE METRICS WHILE RETAINING COGNIZANCE OF POTENTIALLY SIGNIFICANT DEVIATIONS</title><date>2015-06-18</date><risdate>2015</risdate><abstract>A method is disclosed for determining with computing apparatus an adequate number of clusters for summarizing result data that includes a large number of observation data points. The summary data includes a small number of samples of data from each cluster with the number of clusters being large enough to provide a good summary of all the result data without being so large as to make it difficult for one skilled in the art to examine visually all of the summary data generated by the computing apparatus.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
title | METHOD FOR SUMMARIZED VIEWING OF LARGE NUMBERS OF PERFORMANCE METRICS WHILE RETAINING COGNIZANCE OF POTENTIALLY SIGNIFICANT DEVIATIONS |
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