satellite: Statlog (landsat satellite) data set.
In DavidHofmeyr/spuds: Spectral Partitioning Using Density Separation
Description
Usage
Format
Source
References
Description
This dataset contains multi-spectral information taken from 3x3 pixel squares from satellite images. The centre pixel for each case lies in one of seven classes (class 6 is not present in the data set)
1 red soil
2 cotton crop
3 grey soil
4 damp grey soil
5 soil with vegetation stubble
6 mixture class (all types present)
7 very damp grey soil.
Usage
1
Format
A list with entries $x (a 6435x36 matrix with each row corresponding to an individual pixel square) and $c (a vector of labels)
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
DavidHofmeyr/spuds documentation built on May 20, 2019, 9:40 a.m.
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Description Usage Format Source References
Description
This dataset contains multi-spectral information taken from 3x3 pixel squares from satellite images. The centre pixel for each case lies in one of seven classes (class 6 is not present in the data set) 1 red soil 2 cotton crop 3 grey soil 4 damp grey soil 5 soil with vegetation stubble 6 mixture class (all types present) 7 very damp grey soil.
Usage
1 |
Format
A list with entries $x (a 6435x36 matrix with each row corresponding to an individual pixel square) and $c (a vector of labels)
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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