weightedPairsDistance {colordistance}

Distance between color clusters with user-specified color/size weights

Description

Distance metric with optional user input for specifying how much the bin size similarity and color similarity should be weighted when pairing clusters from different color cluster sets.

Usage

weightedPairsDistance(
  T1,
  T2,
  ordering = FALSE,
  size.weight = 0.5,
  color.weight = 0.5
)

Arguments

T1

Dataframe (especially a dataframe as returned by extractClusters or getImageHist, but first three columns must be coordinates).

T2

Another dataframe like T1.

ordering

Logical. Should clusters by paired in order to minimize overall distance scores or evaluated in the order given?

size.weight

Weight of size similarity in determining overall score and ordering (if ordering=T).

color.weight

Weight of color similarity in determining overall score and ordering (if ordering=T). Color and size weights do not necessarily have to sum to 1.

Value

Similarity score based on size and color similarity of each pair of points in provided dataframes.

Note

Use with caution, since weights can easily swing distance scores more dramatically than might be expected. For example, if size.weight = 1 and color.weight = 0, two clusters of identical color but different sizes would not be compared.

Examples

cluster.list <- colordistance::getKMeansList(system.file("extdata",
"Heliconius/Heliconius_B", package="colordistance"), lower=rep(0.8, 3),
upper=rep(1, 3))
cluster.list <- colordistance::extractClusters(cluster.list, ordering=TRUE)
colordistance:::weightedPairsDistance(cluster.list[[1]], cluster.list[[2]],
size.weight=0.8, color.weight=0.2)