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- Q5136711 subject Q8384546.
- Q5136711 abstract "Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high-dimensional data spaces are often encountered in areas such as medicine, where DNA microarray technology can produce a large number of measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions equals the size of the vocabulary.".
- Q5136711 wikiPageWikiLink Q1114630.
- Q5136711 wikiPageWikiLink Q128570.
- Q5136711 wikiPageWikiLink Q1430460.
- Q5136711 wikiPageWikiLink Q175199.
- Q5136711 wikiPageWikiLink Q186290.
- Q5136711 wikiPageWikiLink Q201413.
- Q5136711 wikiPageWikiLink Q2083958.
- Q5136711 wikiPageWikiLink Q2305910.
- Q5136711 wikiPageWikiLink Q2976575.
- Q5136711 wikiPageWikiLink Q3191282.
- Q5136711 wikiPageWikiLink Q382698.
- Q5136711 wikiPageWikiLink Q386780.
- Q5136711 wikiPageWikiLink Q4440864.
- Q5136711 wikiPageWikiLink Q5172845.
- Q5136711 wikiPageWikiLink Q5691531.
- Q5136711 wikiPageWikiLink Q591518.
- Q5136711 wikiPageWikiLink Q591745.
- Q5136711 wikiPageWikiLink Q622825.
- Q5136711 wikiPageWikiLink Q7394939.
- Q5136711 wikiPageWikiLink Q8384546.
- Q5136711 wikiPageWikiLink Q865746.
- Q5136711 comment "Clustering high-dimensional data is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high-dimensional data spaces are often encountered in areas such as medicine, where DNA microarray technology can produce a large number of measurements at once, and the clustering of text documents, where, if a word-frequency vector is used, the number of dimensions equals the size of the vocabulary.".
- Q5136711 label "Clustering high-dimensional data".