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Check for Spatial Ordering in Cluster IDs

Source: R/cluster_utils.R
check_cluster_ordering.Rd

Diagnostic function to detect whether cluster IDs are spatially ordered along any axis. Useful for identifying clustering algorithms that may produce ordered IDs.

Usage

check_cluster_ordering(cluster_result)

Arguments

cluster_result

A clustering result object with coord_centers component

Value

A list with correlation statistics:

  • cor_x: Spearman correlation between cluster ID and x-coordinate

  • cor_y: Spearman correlation between cluster ID and y-coordinate

  • cor_z: Spearman correlation between cluster ID and z-coordinate

  • max_abs_cor: Maximum absolute correlation across all axes

  • is_ordered: Logical indicating if any axis shows strong ordering (|r| > 0.3)

Examples

if (FALSE) { # \dontrun{
result <- cluster4d(vec, mask, K = 100, method = "flash3d")

# Check for ordering
ordering <- check_cluster_ordering(result)
print(ordering)

# If strongly ordered, randomize
if (ordering$is_ordered) {
  result <- randomize_cluster_ids(result)
}
} # }