Groups adjacent values into clusters if their difference is less than a specified threshold,
and computes the mean and total weight for each cluster.
Usage
ClusterAdjacent(values, weights, threshold = 0.01)
Arguments
- values
Numeric vector of values to cluster (e.g., means from GMM components).
- weights
Numeric vector of weights corresponding to values.
- threshold
Numeric value specifying the maximum allowed difference between adjacent values to be grouped into the same cluster. Default is 0.01.
Value
A list with two elements:
- means
Numeric vector of cluster means.
- weights
Numeric vector of aggregated cluster weights.
Examples
ClusterAdjacent(c(0.1, 0.11, 0.5), c(0.3, 0.4, 0.3))
#> $means
#> [1] 0.105 0.500
#>
#> $weights
#> [1] 0.7 0.3
#>
