Creates a configuration object for computing Euclidean dissimilarity.
Pass the result to dissimilarity() to compute the dissimilarity
matrix.
The scaled Euclidean dissimilarity between two observations \(x_i\) and
\(x_j\) is:
\[d(x_i, x_j) = \sqrt{\frac{1}{p} \sum_{k=1}^{p}(x_{i,k} - x_{j,k})^2}\]
where \(p\) is the number of variables. Results are equivalent to
stats::dist() but scaled by \(1/p\).
Usage
diss_euclidean(center = TRUE, scale = FALSE)
Arguments
- center
Logical. Center the data before computing distances?
Applied jointly to Xr and Xu if both are provided.
Default TRUE.
- scale
Logical. Scale the data before computing distances?
Applied jointly to Xr and Xu if both are provided.
Default FALSE.
Value
An object of class c("diss_euclidean", "diss_method").
Examples
m <- diss_euclidean()
m <- diss_euclidean(center = FALSE, scale = TRUE)
