This category is about statistical classification algorithms. For more information, see Statistical classification.
Subcategories
This category has the following 3 subcategories, out of 3 total.
A
- Artificial neural networks (5 C, 151 P)
D
- Decision trees (18 P)
E
- Ensemble learning (13 P)
Pages in category "Classification algorithms"
The following 85 pages are in this category, out of 85 total. This list may not reflect recent changes.
*
- Calibration (statistics)
- Soft independent modelling of class analogies
- Statistical classification
- Variable kernel density estimation
0–9
A
- AdaBoost
- ALOPEX
- Alternating decision tree
- Analogical modeling
- Averaged one-dependence estimators
- Types of artificial neural networks
- Automated Pain Recognition
B
C
- C4.5 algorithm
- Cascading classifiers
- Case-based reasoning
- Chi-square automatic interaction detection
- Classifier chains
- Co-training
- CoBoosting
- Compositional pattern-producing network
- Conceptual clustering
D
E
F
G
H
I
J
K
L
- Large margin nearest neighbor
- Latent class model
- Learning vector quantization
- Least-squares support vector machine
- Linear classifier
- Linear discriminant analysis
- Locality-sensitive hashing
- Logic learning machine
- LogitBoost
M
- Margin classifier
- Margin-infused relaxed algorithm
- Mathematics of artificial neural networks
- Multi-label classification
- Multiclass classification
- Multifactor dimensionality reduction
- Multilayer perceptron
- Multinomial logistic regression
- Multiple discriminant analysis
- Multispectral pattern recognition
N
- Naive Bayes classifier
- Nearest centroid classifier
- Nearest neighbor search
- Neural network (machine learning)
- Normal discriminant analysis
O
- One-class classification
- Operational taxonomic unit
- Optimal discriminant analysis and classification tree analysis
- Ordinal regression
P
Q
R
- Radial basis function network
- Random forest
- Random subspace method
- Relevance vector machine
- Rules extraction system family