kmeans_test, a FORTRAN90 code which calls kmeans(), which handles the K-Means problem, which organizes a set of N points in M dimensions into K clusters;
The computer code and data files described and made available on this web page are distributed under the MIT license
kmeans, a FORTRAN90 code which solves the K-Means problem, which organizes a set of N points in M dimensions into K clusters;
There are data files read by the sample code:
TEST01 applies HMEANS_01 to points_100.txt:
TEST02 applies HMEANS_02 to points_100.txt:
TEST03 applies KMEANS_01 to points_100.txt:
TEST04 applies KMEANS_02 to points_100.txt:
TEST05 applies KMEANS_03 to points_100.txt:
TEST06 applies HMEANS_01 + KMEANS_01 to points_100.txt:
TEST07 applies HMEANS_01 + KMEANS_02 to points_100.txt:
TEST08 applies KMEANS_01 + KMEANS_03 to points_100.txt:
TEST09 applies HMEANS_W_01 to points_100.txt and weights_equal_100.txt:
TEST10 applies HMEANS_W_02 to points_100.txt and weights_equal_100.txt:
TEST11 applies KMEANS_W_01 to points_100.txt and weights_equal_100.txt:
TEST12 applies KMEANS_W_03 to points_100.txt and weights_equal_100.txt:
TEST13 applies HMEANS_W_01 to points_100.txt and weights_unequal_100.txt:
TEST14 applies HMEANS_W_02 to points_100.txt and weights_unequal_100.txt:
TEST15 applies KMEANS_W_01 to points_100.txt and weights_unequal_100.txt:
TEST16 applies KMEANS_W_03 to points_100.txt and weights_unequal_100.txt: