|
Adjusted rand index
|
176 |
3 |
19 |
7 |
3.3 |
|
Algorithmic inference
|
98 |
20 |
25 |
2 |
1.7 |
|
Alternating decision tree
|
92 |
2 |
13 |
10 |
2.1 |
|
Artificial neural network
|
85 |
2 |
8 |
3 |
2.6 |
|
Cluster analysis
|
34 |
1 |
10 |
2 |
2.5 |
|
Cross-validation (statistics)
|
282 |
12 |
33 |
7 |
2 |
|
Dominance-based Rough Set Approach
|
74 |
25 |
12 |
10 |
3.2 |
|
Expectation-maximization algorithm
|
112 |
5 |
28 |
9 |
2.3 |
|
Exponential mechanism (differential privacy)
|
146 |
12 |
17 |
2 |
1.4 |
|
Forward-backward algorithm
|
220 |
13 |
26 |
15 |
2.5 |
|
Glivenko–Cantelli theorem
|
191 |
23 |
11 |
11 |
3.1 |
|
Granular computing
|
93 |
12 |
14 |
3 |
2.6 |
|
Information bottleneck method
|
162 |
1 |
24 |
7 |
2.9 |
|
K-medoids
|
355 |
24 |
34 |
10 |
2.7 |
|
Learning with errors
|
215 |
2 |
11 |
13 |
2.5 |
|
Markov decision process
|
162 |
4 |
18 |
3 |
1.3 |
|
Mixture model
|
45 |
6 |
23 |
10 |
1.7 |
|
Neural modeling fields
|
226 |
17 |
24 |
5 |
2.9 |
|
Partially observable Markov decision process
|
64 |
9 |
16 |
4 |
2.4 |
|
Perceptron
|
128 |
2 |
15 |
2 |
2 |
|
