Count neighbours within a fixed radius

Usage

count_within_radius_bigmatrix(
  x,
  query = NULL,
  radius,
  metric = "euclidean",
  block_size = knn_default_block_size(),
  plan = NULL,
  exclude_self = is.null(query)
)

Arguments

x: A bigmemory::big.matrix, an external pointer referencing a big.matrix, or a prepared reference returned by knn_prepare_bigmatrix().
query: Optional query source. Supply NULL for self-search, another big.matrix or external pointer for streamed queries, or a dense numeric matrix.
radius: Distance threshold for including a neighbour.
metric: Distance metric. Supported values are "euclidean", "sqeuclidean", and "cosine".
block_size: Number of rows to process per query and reference block.
plan: Optional execution plan returned by knn_plan_bigmatrix().
exclude_self: Logical flag controlling whether a query row may return itself as a neighbour when query references the same matrix as x.

Value

An integer vector with one count per query row.