Description: A tool for classification, including support vector machines, neural networks, principal component analysis, multivariate methods such as spline matlab source code, as well as user manuals.
- [SVM(Matlab).Rar] - Support Vector Machine (SVM), a classifi
- [Classification_toolbox] - The matching Matlab source code for the
- [ClassificationA] - Neural network-based remote sensing imag
- [shibie] - Handwritten digits recognition: the hand
- [BpNet] - Three-BP neural network algorithm, the m
- [svctools] - Least squares support vector machines ma
- [ACASP] - Ant colony algorithm dynamic routing alg
- [nonrigid_version7b] - Non-rigid image registration examples, i
- [Selforg] - Self-organizing feature map network imag
- [cpslssvm] - Based on Chaotic Particle Swarm Optimiza
File list (Check if you may need any files):
Ada_Boost.m
ADDC.m
AGHC.m
Backpropagation_Batch.m
Backpropagation_CGD.m
Backpropagation_Quickprop.m
Backpropagation_Recurrent.m
Backpropagation_SM.m
Backpropagation_Stochastic.m
Balanced_Winnow.m
Bayesian_Model_Comparison.m
Bhattacharyya.m
BIMSEC.m
C4_5.m
calculate_error.m
calculate_region.m
CART.m
CARTfunctions.m
Cascade_Correlation.m
Chernoff.m
Classification.txt
classification_error.m
classifier.m
classifier.mat
classifier_commands.m
classify_paramteric.m
click_points.m
Competitive_learning.m
Components_without_DF.m
Components_with_DF.m
contents.m
datasets
........\chess.mat
........\clouds.mat
........\DHSchapter10.mat
........\DHSchapter2.mat
........\DHSchapter3.mat
........\DHSchapter4.mat
........\DHSchapter5.mat
........\DHSchapter6.mat
........\DHSchapter7.mat
........\DHSchapter8.mat
........\DHSchapter9.mat
........\DHS_cover.mat
........\four_spiral.mat
........\spiral.mat
........\XOR.mat
Deterministic_annealing.m
Deterministic_Boltzmann.m
Deterministic_SA.m
Discrete_Bayes.m
Discriminability.m
DSLVQ.m
EM.m
enter_distributions.m
enter_distributions.mat
enter_distributions_commands.m
feature_selection.m
feature_selection.mat
Feature_selection.txt
feature_selection_commands.m
FindParameters.m
FindParameters.mat
FindParametersFunctions.m
FishersLinearDiscriminant.m
fuzzy_k_means.m
GaussianParameters.m
GaussianParameters.mat
generate_data_set.m
Genetic_Algorithm.m
Genetic_Culling.m
Genetic_Programming.m
Gibbs.m
HDR.m
high_histogram.m
Ho_Kashyap.m
ICA.m
ID3.m
Infomat.m
Interactive_Learning.m
Kohonen_SOFM.m
Koller.m
k_means.m
Leader_Follower.m
LMS.m
load_file.m
Local_Polynomial.m
LocBoost.m
LocBoostFunctions.m
loglikelihood.m
LS.m
LVQ1.m
LVQ3.m
make_a_draw.m
Marginalization.m
MDS.m
Minimum_Cost.m
min_spanning_tree.m
ML.m
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