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bktCluster vs. DBSCAN run times for different
sample sizes and a test data set with 15 clusters.
N/Cluster |
Total Points |
bktCluster Time (s) |
bktCluster Clusters |
DBSCAN Time (s) |
DBSCAN Clusters |
Speedup |
100 |
1800 |
0.096 |
13 |
0.043 |
14 |
0.441 |
250 |
4500 |
0.120 |
15 |
0.157 |
14 |
1.305 |
500 |
9000 |
0.133 |
15 |
0.432 |
14 |
3.248 |
1000 |
18000 |
0.145 |
15 |
1.398 |
16 |
9.652 |
2500 |
45000 |
0.193 |
15 |
7.725 |
14 |
39.978 |
5000 |
90000 |
0.267 |
15 |
29.649 |
15 |
111.240 |
10000 |
180000 |
0.382 |
15 |
161.711 |
12 |
422.822 |
25000 |
450000 |
0.738 |
15 |
N/A |
N/A |
N/A |
50000 |
900000 |
1.235 |
15 |
N/A |
N/A |
N/A |
100000 |
1800000 |
2.187 |
15 |
N/A |
N/A |
N/A |
100 |
1800 |
0.122 |
15 |
2.733 |
1 |
0.352 |
|
bktCluster large sample algorithm (default) with the
default distance threshol |
|
bktCluster large sample algorithm (default) with a
distance threshold of 2 |
N/A |
DBSCAN time exceeded 10 minutes |
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