pooled_scatter: Calculate Pooled Scatter (Within-Class Scatter) Matrix
In bbuchsbaum/discursive: What the Package Does (One Line, Title Case)
pooled_scatter R Documentation
Calculate Pooled Scatter (Within-Class Scatter) Matrix
Description
Computes the within-class scatter matrix for a dataset with given class labels.
This uses a trick involving the class means and their counts to produce:
S_w = \sum_i x_i x_i^T - \sum_k n_k M_k M_k^T
Usage
pooled_scatter(X, Y)
Arguments
X
A numeric matrix (n x d). Rows are samples, columns are features.
Y
A factor or numeric vector of length n representing class labels.
Value
A numeric (d x d) matrix representing the within-class scatter matrix.
bbuchsbaum/discursive documentation built on April 14, 2025, 4:57 p.m.
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| pooled_scatter | R Documentation |
Calculate Pooled Scatter (Within-Class Scatter) Matrix
Description
Computes the within-class scatter matrix for a dataset with given class labels. This uses a trick involving the class means and their counts to produce:
S_w = \sum_i x_i x_i^T - \sum_k n_k M_k M_k^T
Usage
pooled_scatter(X, Y)
Arguments
X |
A numeric matrix (n x d). Rows are samples, columns are features. |
Y |
A factor or numeric vector of length n representing class labels. |
Value
A numeric (d x d) matrix representing the within-class scatter matrix.
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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