Clustering method | Distance measure | |||||||
---|---|---|---|---|---|---|---|---|
Squared Euclidean distance | Cosine | |||||||
Together in both | Separate in both | Mixed | Rand’s C | Together in both | Separate in both | Mixed | Rand’s C | |
Between-Nearest | 4 | 10 | 7 | 0.67 | 4 | 14 | 3 | 0.86 |
Between-Within | 5 | 16 | 0 | 1.00 | 4 | 13 | 4 | 0.81 |
Between-Furthest | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Between-Centroid | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Between-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Between-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Nearest-Within | 4 | 10 | 7 | 0.67 | 4 | 12 | 5 | 0.76 |
Nearest-Furthest | 4 | 10 | 7 | 0.67 | 4 | 14 | 3 | 0.86 |
Nearest-Centroid | 4 | 10 | 7 | 0.67 | 4 | 14 | 3 | 0.86 |
Nearest-Median | 4 | 10 | 7 | 0.67 | 4 | 14 | 3 | 0.86 |
Nearest-Ward’s | 4 | 10 | 7 | 0.67 | 4 | 14 | 3 | 0.86 |
Within-Furthest | 5 | 16 | 0 | 1.00 | 4 | 13 | 4 | 0.81 |
Within-Centroid | 5 | 16 | 0 | 1.00 | 4 | 13 | 4 | 0.81 |
Within-Median | 5 | 16 | 0 | 1.00 | 4 | 13 | 4 | 0.81 |
Within-Ward’s | 5 | 16 | 0 | 1.00 | 4 | 13 | 4 | 0.81 |
Furthest-Centroid | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Furthest-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Furthest-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Centroid-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Centroid-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Median-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Clustering method | Distance measure | |||||||
---|---|---|---|---|---|---|---|---|
Pearson correlation | Customized | |||||||
Together in both | Separate in both | Mixed | Rand’s C | Together in both | Separate in both | Mixed | Rand’s C | |
Between-Nearest | 4 | 16 | 1 | 0.95 | 4 | 10 | 7 | 0.67 |
Between-Within | 4 | 16 | 1 | 0.95 | 5 | 16 | 0 | 1.00 |
Between-Furthest | 4 | 16 | 1 | 0.95 | 5 | 16 | 0 | 1.00 |
Between-Centroid | 4 | 16 | 1 | 0.95 | 4 | 10 | 7 | 0.67 |
Between-Median | 4 | 16 | 1 | 0.95 | 5 | 16 | 0 | 1.00 |
Between-Ward’s | 4 | 16 | 1 | 0.95 | 5 | 16 | 0 | 1.00 |
Nearest-Within | 5 | 16 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Nearest-Furthest | 5 | 16 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Nearest-Centroid | 5 | 16 | 0 | 1.00 | 10 | 11 | 0 | 1.00 |
Nearest-Median | 5 | 16 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Nearest-Ward’s | 5 | 16 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Within-Furthest | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Within-Centroid | 5 | 16 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Within-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Within-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Furthest-Centroid | 5 | 16 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Furthest-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Furthest-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Centroid-Median | 5 | 16 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Centroid-Ward’s | 5 | 16 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Median-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Clustering method | Distance measure | |||||||
---|---|---|---|---|---|---|---|---|
Minkowski | Block | |||||||
Together in both | Separate in both | Mixed | Rand’s C | Together in both | Separate in both | Mixed | Rand’s C | |
Between-Nearest | 4 | 10 | 7 | 0.67 | 4 | 10 | 7 | 0.67 |
Between-Within | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Between-Furthest | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Between-Centroid | 4 | 10 | 7 | 0.67 | 5 | 16 | 0 | 1.00 |
Between-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Between-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Nearest-Within | 4 | 10 | 7 | 0.67 | 4 | 10 | 7 | 0.67 |
Nearest-Furthest | 4 | 10 | 7 | 0.67 | 4 | 10 | 7 | 0.67 |
Nearest-Centroid | 10 | 11 | 0 | 1.00 | 4 | 10 | 7 | 0.67 |
Nearest-Median | 4 | 10 | 7 | 0.67 | 4 | 10 | 7 | 0.67 |
Nearest-Ward’s | 4 | 10 | 7 | 0.67 | 4 | 10 | 7 | 0.67 |
Within-Furthest | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Within-Centroid | 4 | 10 | 7 | 0.67 | 5 | 16 | 0 | 1.00 |
Within-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Within-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Furthest-Centroid | 4 | 10 | 7 | 0.67 | 5 | 16 | 0 | 1.00 |
Furthest-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Furthest-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Centroid-Median | 4 | 10 | 7 | 0.67 | 5 | 16 | 0 | 1.00 |
Centroid-Ward’s | 4 | 10 | 7 | 0.67 | 5 | 16 | 0 | 1.00 |
Median-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Within-Median | 4 | 10 | 7 | 0.67 | 4 | 10 | 7 | 0.67 |
Within-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Furthest-Centroid | 4 | 10 | 7 | 0.67 | 5 | 16 | 0 | 1.00 |
Furthest-Median | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Furthest-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Centroid-Median | 4 | 10 | 7 | 0.67 | 5 | 16 | 0 | 1.00 |
Centroid-Ward’s | 4 | 10 | 7 | 0.67 | 5 | 16 | 0 | 1.00 |
Median-Ward’s | 5 | 16 | 0 | 1.00 | 5 | 16 | 0 | 1.00 |
Clustering method | Distance measure | |||
---|---|---|---|---|
Chebychev | ||||
Together in both | Separate in both | Mixed | Rand’s C | |
Between-Nearest | 4 | 10 | 7 | 0.67 |
Between-Within | 4 | 10 | 7 | 0.67 |
Between-Furthest | 5 | 16 | 0 | 1.00 |
Between-Centroid | 4 | 10 | 7 | 0.67 |
Between-Median | 4 | 10 | 7 | 0.67 |
Between-Ward’s | 5 | 16 | 0 | 1.00 |
Nearest-Within | 10 | 11 | 0 | 1.00 |
Nearest-Furthest | 4 | 10 | 7 | 0.67 |
Nearest-Centroid | 10 | 11 | 0 | 1.00 |
Nearest-Median | 10 | 11 | 0 | 1.00 |
Nearest-Ward’s | 4 | 10 | 7 | 0.67 |
Within-Furthest | 4 | 10 | 7 | 0.67 |
Within-Centroid | 10 | 11 | 0 | 1.00 |
Within-Median | 10 | 11 | 0 | 1.00 |
Within-Ward’s | 4 | 10 | 7 | 0.67 |
Furthest-Centroid | 4 | 10 | 7 | 0.67 |
Furthest-Median | 4 | 10 | 7 | 0.67 |
Furthest-Ward’s | 5 | 16 | 0 | 1.00 |
Centroid-Median | 10 | 11 | 0 | 1.00 |
Centroid-Ward’s | 4 | 10 | 7 | 0.67 |
Median-Ward’s | 4 | 10 | 7 | 0.67 |