SAGA - ISODATA Clustering for Grids

This tool executes the Isodata unsupervised classification - clustering algorithm.

SAGAimageryclustering

Alias

imagery isocluster 0-ISODATA Clustering for Grids

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Contributor(s)

Initial contribute: 2018-11-06

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Classification(s)

Method-focused categoriesData-perspectiveGeoinformation analysis

Detailed Description

English {{currentDetailLanguage}} English

Quoted from:http://www.saga-gis.org/en/index.html

This tool executes the Isodata unsupervised classification - clustering algorithm. Isodata stands for Iterative Self-Organizing Data Analysis Techniques. This is a more sophisticated algorithm which allows the number of clusters to be automatically adjusted during the iteration by merging similar clusters and splitting clusters with large standard deviations.The tool is based on Christos Iosifidis' Isodata implementation:isodata.cFurther references:Memarsadeghi, N., Mount, D. M., Netanyahu, N. S., Le Moigne, J. (2007): A Fast Implementation of the ISODATA Clustering Algorithm. International Journal of Computational Geometry and Applications, 17, 71-103. onlineA Fast Implementation of the ISODATA Clustering Algorithm

模型元数据

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SAGA (2018). SAGA - ISODATA Clustering for Grids, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/df602f31-c0c6-42ed-9033-0623c09afa31
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Contributor(s)

Initial contribute : 2018-11-06

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