JMdist: Jeffries-Matusita distance among classes
In varSel: Sequential Forward Floating Selection using Jeffries-Matusita Distance
Description
Usage
Arguments
Value
Author(s)
References
Description
Jeffries-Matusita distance.
Usage
1
JMdist(g, X)
Arguments
g
A column vector of the lables. length(g) is equal to nrow(X).
X
A dataframe of the features. ncol(X) is equal to the total number of features, and nrow(X) is equal to the number of avaialble training samples. nrow(X) is equal to length(g)
Value
A list containing a matrix of the class combinations and a vector of the JM distances of all the class combinations.
Author(s)
Michele Dalponte and Hans Ole Oerka
References
Dalponte, M., Oerka, H.O., Gobakken, T., Gianelle, D. & Naesset, E. (2013). Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 51, 2632-2645.
varSel documentation built on Jan. 7, 2021, 5:11 p.m.
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Description Usage Arguments Value Author(s) References
Description
Jeffries-Matusita distance.
Usage
1 | JMdist(g, X)
|
Arguments
g |
A column vector of the lables. length(g) is equal to nrow(X). |
X |
A dataframe of the features. ncol(X) is equal to the total number of features, and nrow(X) is equal to the number of avaialble training samples. nrow(X) is equal to length(g) |
Value
A list containing a matrix of the class combinations and a vector of the JM distances of all the class combinations.
Author(s)
Michele Dalponte and Hans Ole Oerka
References
Dalponte, M., Oerka, H.O., Gobakken, T., Gianelle, D. & Naesset, E. (2013). Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 51, 2632-2645.
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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