Merge pull request #57 from Arkoniak/add_simd

Experimenting with simd for faster calculations.

Author: PyDataBlog

src/kmeans.jl

@@ -94,7 +94,7 @@ Allocationless calculation of square eucledean distance between vectors X1[:, i1
 function distance(X1, X2, i1, i2)
     d = 0.0
     # TODO: break of the loop if d is larger than threshold (known minimum disatnce)
-    @inbounds for i in axes(X1, 1)
+    @inbounds @simd for i in axes(X1, 1)
         d += (X1[i, i1] - X2[i, i2])^2
     end