Table 4.
Data type, dissimilarity, and scaling of continuous features | Categorical features encoded as binary? | Value, n (%) | ||
Continuous | ||||
|
Euclidean assumed | |||
|
|
No details | N/Aa | 1 (14) |
Mixed | ||||
|
Log-likelihood assumed | |||
|
|
Scaled to lie in the interval 0 to 1 | Yes | 1 (14) |
|
|
z-scores | No | 1 (14) |
|
|
No details | Yes | 2 (29) |
|
Log-likelihood stated | |||
|
|
Scaled but method unspecified | No | 1 (14) |
|
|
No details | No | 1 (14) |
aN/A: not applicable (irrelevant for continuous features).