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Reducing the computation time of the Isodata and K-means unsupervised classification algorithms | IEEE Conference Publication | IEEE Xplore

Reducing the computation time of the Isodata and K-means unsupervised classification algorithms


Abstract:

Describes a sequence of methods to improve the running-time of the Isodata and K-means algorithms. The methods are compared on a range of remotely-sensed data sets, and s...Show More

Abstract:

Describes a sequence of methods to improve the running-time of the Isodata and K-means algorithms. The methods are compared on a range of remotely-sensed data sets, and show consistent and dramatic speedups.
Date of Conference: 24-28 June 2002
Date Added to IEEE Xplore: 07 November 2002
Print ISBN:0-7803-7536-X
Conference Location: Toronto, ON, Canada

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