SAGA - ISODATA Clustering for Grids

This tool executes the Isodata unsupervised classification - clustering algorithm.

SAGAimageryclustering
  38

Alias

imagery isocluster 0-ISODATA Clustering for Grids

Contributor

contributed at 2018-11-06

Authorship

Homepage:  
View
Is authorship not correct? Feed back

Classification(s)

Method-focused categoriesData-perspectiveRemote sensing 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

How to Cite

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

QR Code

Contributor

contributed at 2018-11-06

Authorship

Homepage:  
View
Is authorship not correct? Feedback

QR Code

×

{{curRelation.overview}}
{{curRelation.author.join('; ')}}
{{curRelation.journal}}

You can link related {{typeName}} from repository to this model item, or you can create a new {{typeName.toLowerCase()}}.

Related Items

These authorship information will be submitted to the contributor to review.

Model Classifications 1
Model Classifications 2
Cancel Submit