SAGA - Supervised Classification for Tables

Supervised classification for attribute data. To train the classifier choose an attribute that provides class identifiers for those records, for which the target class is known, and no data for all other records.

SAGAimageryclassification
  101

Alias

imagery classification 5-Supervised Classification

Contributor(s)

Initial contribute: 2018-11-06

Authorship

Homepage:  
View
Is authorship not correct? Feed back

Classification(s)

Method-focused categoriesData-perspectiveGeoinformation analysis

Model Description

English {{currentDetailLanguage}} English

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

Supervised classification for attribute data. To train the classifier choose an attribute that provides class identifiers for those records, for which the target class is known, and no data for all other records.

How to Cite

SAGA (2018). SAGA - Supervised Classification for Tables, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/e5c1684c-74fe-447a-90e8-eb67b8676c3c
Copy

QR Code

Contributor

Initial contribute: 2018-11-06

Co-contributor(s)

Authorship

Homepage:  
View
Is authorship not correct? Feedback

QR Code

×

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









Related Items

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

Drop the file here, orclick to upload.
Select From My Space
+ add

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

Cancel Submit
Cancel Submit
Localizations + Add
{{ item.label }} {{ item.value }}
Model Name :
Cancel Submit Cancel Submit
Name:
Version:
Model Type:
Model Domain:
Scale:
Purpose:
Principles:
Incorporated models:

Model part of

larger framework

Process:
Information:
Initialization:
Hardware Requirements:
Software Requirements:
Inputs:
Outputs:
Cancel Submit
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
Cancel Submit
Add Cancel

{{articleUploading.title}}

Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{articleUploading.date}}

Page range:   {{articleUploading.pageRange}}

Link:   {{articleUploading.link}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

OK
Cancel Confirm