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bktCluster vs. DBSCAN run times for different
sample sizes and a test data set with 200 clusters.
N/Cluster |
Total Points |
bktCluster Time (s) |
bktCluster Clusters |
DBSCAN Time (s) |
DBSCAN Clusters |
Speedup |
100 |
20000 |
0.072 |
1 |
2.733 |
1 |
37.733 |
250 |
50000 |
0.099 |
1 |
10.514 |
200 |
106.440 |
500 |
100000 |
0.750 |
199 |
42.215 |
200 |
56.318 |
1000 |
200000 |
1.057 |
200 |
223.993 |
200 |
211.860 |
2500 |
500000 |
1.941 |
200 |
1344.165 |
200 |
692.558 |
5000 |
1000000 |
3.144 |
200 |
N/A |
N/A |
N/A |
10000 |
2000000 |
5.768 |
200 |
N/A |
N/A |
N/A |
100 |
20000 |
0.387 |
200 |
2.733 |
1 |
4.936 |
250 |
50000 |
0.400 |
200 |
10.514 |
200 |
26.278 |
500 |
100000 |
0.696 |
200 |
42.215 |
200 |
60.614
|
|
bktCluster large sample algorithm (default) with default distance
threshold |
|
bktCluster large sample algorithm (default) with a distance
threshold of 25 |
N/A |
DBSCAN time exceeded 30 minutes |
|