From: A clustering algorithm for multivariate data streams with correlated components
N. of true clusters | Algorithm | Dimension p of data points | N. of data in each chunk | N. of estimated clusters | N. of retained points (outliers) |
---|---|---|---|---|---|
5 | BFR | 5 | 25 | 6 | 0 |
5 | PA | 5 | 25 | 5 | 0 |
5 | BFR | 5 | 50 | 6 | 0 |
5 | PA | 5 | 50 | 5 | 0 |
5 | BFR | 10 | 25 | 5 | 0 |
5 | PA | 10 | 25 | 5 | 0 |
5 | BFR | 10 | 50 | 5 | 0 |
5 | PA | 10 | 50 | 5 | 0 |
5 | BFR | 20 | 25 | 5 | 0 |
5 | PA | 20 | 25 | 5 | 0 |
5 | BFR | 20 | 50 | 5 | 0 |
5 | PA | 20 | 50 | 5 | 0 |
20 | BFR | 10 | 25 | 12 | 0 |
20 | PA | 10 | 25 | 17 | 0 |
20 | BFR | 10 | 50 | 13 | 0 |
20 | PA | 10 | 50 | 22 | 1 |
20 | BFR | 20 | 25 | 11 | 0 |
20 | PA | 20 | 25 | 19 | 0 |
20 | BFR | 20 | 50 | 20 | 0 |
20 | PA | 20 | 50 | 20 | 0 |