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Pattern Recognition Algorithms (Clustering algorithms (Deep learning…
Pattern Recognition Algorithms
Classification algorithms
Parametric
Linear discriminant analysis
Quadratic discriminant analysis
Maximum entropy classifier
Nonparametric
Descision trees
Gene expression programming
K-nearest neighbour
Clustering algorithms
Deep learning methods
K-means clustering
Correlation clustering
Ensemble learning
Boosting
Bootstrap aggregating
Ensemble averaging
General algorithms (for predicting arbitrarily-structured labels)
Bayesian networks
Markow random fields
Multilinea subspace learning algorithms (predicting labels of multidimensional data)
Multilinea principal component analysis (unsupervised)
Real-valued sequence labeling algorithms (predicting sequence of real-valued labels)
Kalman filters (supervised)
Particle filters (supervised)
Regression algorithms
Supervised
Gaussian process regression
Linear regression
Neural networks
Unsupervised
Independent component analysis
Principal components analysis
Sequence labeling algorithms
Supervised
Conditional random fields
Recurrent neutal networks
Maximum entropy Makov
Unsupervised
Hidden Markov models