Updated distance benchmark with metric

Author: PyDataBlog

benchmark/bench01_distance.jl

@@ -10,12 +10,12 @@ Random.seed!(2020)
 X = rand(3, 100_000)
 centroids = rand(3, 2)
 d = Vector{Float64}(undef, 100_000)
-suite["100kx3"] = @benchmarkable ParallelKMeans.chunk_colwise($d, $X, $centroids, 1, nothing, 1:100_000, 1)
+suite["100kx3"] = @benchmarkable ParallelKMeans.chunk_colwise($d, $X, $centroids, 1, nothing, Euclidean(), 1:100_000, 1)
 
 X = rand(10, 100_000)
 centroids = rand(10, 2)
 d = Vector{Float64}(undef, 100_000)
-suite["100kx10"] = @benchmarkable ParallelKMeans.chunk_colwise($d, $X, $centroids, 1, nothing, 1:100_000, 1)
+suite["100kx10"] = @benchmarkable ParallelKMeans.chunk_colwise($d, $X, $centroids, 1, nothing, Euclidean(), 1:100_000, 1)
 
 end # module