High-Dimensional Data Clustering Task
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A High-Dimensional Data Clustering Task is a clustering task that is a high-dimensional data task.
- See: Heuristic, SUBCLU, Association Rule Learning, Subspace Clustering, Projective Clustering, DNA Microarray, Heaps' Law, Text Data Clustering.
References
2014
- (Wikipedia, 2014) ⇒ http://en.wikipedia.org/wiki/Clustering_high-dimensional_data Retrieved:2014-7-27.
- 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.