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This category has the following 3 subcategories, out of 3 total.
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The following 85 pages are in this category, out of 85 total.
576:
Optimal discriminant analysis and classification tree analysis
394:Jackknife variance estimates for random forest
127:Soft independent modelling of class analogies
104:Pages in category "Classification algorithms"
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235:Chi-square automatic interaction detection
485:Mathematics of artificial neural networks
149:(1+ε)-approximate nearest neighbor search
109:This list may not reflect recent changes
255:Compositional pattern-producing network
598:Probabilistic latent semantic analysis
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500:Multifactor dimensionality reduction
438:Least-squares support vector machine
186:Types of artificial neural networks
181:Averaged one-dependence estimators
137:Variable kernel density estimation
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547:Neural network (machine learning)
520:Multispectral pattern recognition
480:Margin-infused relaxed algorithm
377:Information gain (decision tree)
299:Evolving classification function
510:Multinomial logistic regression
647:Rules extraction system family
515:Multiple discriminant analysis
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664:Syntactic pattern recognition
627:Radial basis function network
423:Large margin nearest neighbor
406:K-nearest neighbors algorithm
338:Group method of data handling
676:Textual case-based reasoning
553:Normal discriminant analysis
448:Linear discriminant analysis
433:Learning vector quantization
355:Hyper basis function network
328:Gesture Description Language
537:Nearest centroid classifier
350:Hierarchical classification
203:Boosting (machine learning)
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722:Statistical classification
571:Operational taxonomic unit
490:Multi-label classification
453:Locality-sensitive hashing
191:Automated Pain Recognition
132:Statistical classification
48:Artificial neural networks
19:Statistical classification
495:Multiclass classification
311:Feature Selection Toolbox
171:Alternating decision tree
693:Whitening transformation
642:Relevance vector machine
566:One-class classification
122:Calibration (statistics)
542:Nearest neighbor search
727:Data mining algorithms
659:Support vector machine
637:Random subspace method
532:Naive Bayes classifier
458:Logic learning machine
382:Information gain ratio
277:Decision tree learning
505:Multilayer perceptron
260:Conceptual clustering
225:Cascading classifiers
615:Quadratic classifier
323:Generalization error
282:Deductive classifier
230:Case-based reasoning
176:Analogical modeling
698:Winnow (algorithm)
581:Ordinal regression
428:Latent class model
475:Margin classifier
443:Linear classifier
333:Gradient boosting
272:Decision boundary
240:Classifier chains
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245:Co-training
711:Categories
593:Perceptron
463:LogitBoost
250:CoBoosting
208:BrownBoost
372:IDistance
161:AdaBoost
166:ALOPEX
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