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数据挖掘中经典算法的matlab代码,相当全面!

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2010-08-20 00:26:40
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Classical data mining algorithm matlab code, quite comprehensive!
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Name Size Date
About.bmp930.45 kB20-05-02 12:36
Ada_Boost.m2.09 kB25-06-02 13:28
ADDC.m2.93 kB18-02-02 18:25
AGHC.m4.22 kB21-03-02 03:43
Backpropagation_Batch.m3.19 kB21-03-02 14:29
Backpropagation_CGD.m5.06 kB21-03-02 14:34
Backpropagation_Quickprop.m6.30 kB21-03-02 14:31
Backpropagation_Recurrent.m4.85 kB21-03-02 14:34
Backpropagation_SM.m3.14 kB21-03-02 14:33
Backpropagation_Stochastic.m2.92 kB21-03-02 14:33
Balanced_Winnow.m1.34 kB21-03-02 14:38
Bayesian_Model_Comparison.m3.17 kB24-03-02 16:32
Bhattacharyya.m588.00 B27-12-01 14:56
BIMSEC.m3.22 kB21-03-02 14:37
C4_5.m5.84 kB19-01-05 12:40
calculate_error.m758.00 B24-12-01 21:34
calculate_region.m1.04 kB22-02-01 18:06
CART.m4.01 kB21-03-02 03:43
CARTfunctions.m846.00 B10-02-02 03:54
Cascade_Correlation.m5.32 kB21-03-02 14:39
Chernoff.m902.00 B27-12-01 15:15
chess.mat1.49 kB15-02-02 03:59
Classification.txt2.76 kB22-07-02 17:37
classification_error.m1.90 kB27-12-00 03:16
classifier.m17.93 kB18-01-05 18:53
classifier.mat4.23 kB10-03-02 04:59
classifier_commands.m25.13 kB21-05-02 18:25
click_points.m2.86 kB15-02-02 03:59
clouds.mat84.09 kB15-02-02 03:59
Competitive_learning.m2.78 kB21-03-02 14:36
Components_without_DF.m2.91 kB24-02-02 18:09
Components_with_DF.m2.33 kB24-02-02 18:17
contents.m9.33 kB20-05-02 12:30
decision_region.m1.80 kB24-03-02 14:41
Deterministic_annealing.m2.98 kB21-03-02 14:41
Deterministic_Boltzmann.m4.46 kB21-03-02 03:43
Deterministic_SA.m2.63 kB21-03-02 14:47
Discrete_Bayes.m1.98 kB20-02-02 16:53
Discriminability.m492.00 B10-01-02 17:34
DSLVQ.m2.90 kB18-02-02 18:27
EM.m4.88 kB24-03-02 14:30
enter_distributions.m7.24 kB04-04-02 17:15
enter_distributions.mat1.90 kB22-11-99 20:15
enter_distributions_commands.m5.79 kB15-02-02 04:00
feature_selection.m4.01 kB04-04-02 17:13
feature_selection.mat1.68 kB26-12-01 04:33
Feature_selection.txt324.00 B20-01-02 23:27
feature_selection_commands.m1.79 kB26-12-01 04:35
FindParameters.m18.89 kB04-04-02 17:18
FindParameters.mat2.90 kB10-03-02 21:50
FindParametersFunctions.m6.18 kB10-03-02 16:22
find_classes.m172.00 B19-03-01 13:13
FishersLinearDiscriminant.m836.00 B18-02-02 15:11
fuzzy_k_means.m1.79 kB24-12-01 14:19
GaussianParameters.m7.44 kB04-04-02 17:13
GaussianParameters.mat1.85 kB10-01-02 17:38
generate_data_set.m2.56 kB15-02-02 03:59
Genetic_Algorithm.m2.94 kB18-04-02 17:57
Genetic_Culling.m3.72 kB21-03-02 03:43
Genetic_Programming.m8.41 kB21-03-02 14:44
Gibbs.m3.01 kB15-02-02 04:00
HDR.m1.25 kB26-12-01 14:26
high_histogram.m2.23 kB10-02-02 18:26
Ho_Kashyap.m1.84 kB21-03-02 03:43
ICA.m1.83 kB21-03-02 14:46
ID3.asv4.26 kB19-01-05 21:35
ID3.m4.26 kB20-01-05 13:51
index(1).htm3.98 kB18-01-05 18:46
index.htm301.00 B04-12-04 17:57
Infomat.m1.95 kB27-12-01 03:19
Interactive_Learning.m2.69 kB21-03-02 14:43
Kohonen_SOFM.m2.53 kB21-03-02 14:41
Koller.m1.40 kB27-12-01 03:19
k_means.m1.79 kB17-03-02 16:35
Leader_Follower.m2.59 kB21-03-02 14:48
LMS.m1.45 kB21-03-02 14:42
load_file.m2.64 kB08-05-02 15:14
Local_Polynomial.m2.00 kB18-02-02 17:34
LocBoost.m9.20 kB21-03-02 03:43
LocBoostFunctions.m1.99 kB11-12-01 18:36
loglikelihood.m435.00 B26-01-00 20:54
LS.m1.22 kB15-04-01 16:47
LVQ1.m2.15 kB24-12-01 14:18
LVQ3.m2.63 kB24-12-01 14:17
make_a_draw.m294.00 B14-02-01 03:34
Marginalization.m1.73 kB10-01-02 22:31
MDS.m2.53 kB21-03-02 03:43
Minimum_Cost.m1.14 kB18-02-02 14:40
min_spanning_tree.m3.75 kB21-03-02 03:43
ML.m895.00 B15-02-02 04:00
ML_diag.m1.16 kB15-02-02 04:00
ML_II.m2.78 kB24-03-02 13:39
multialgorithms.m6.45 kB20-05-02 02:22
multialgorithms.mat4.70 kB20-05-02 02:22
multialgorithms_commands.m9.53 kB20-05-02 12:21
Multivariate_Splines.m2.80 kB21-03-02 14:57
NDDF.m2.01 kB30-12-01 04:14
NearestNeighborEditing.m1.53 kB21-02-02 13:33
Nearest_Neighbor.m1.06 kB07-01-01 16:46
NLPCA.m3.52 kB21-03-02 14:53
None.m342.00 B07-01-01 16:51
Optimal_Brain_Surgeon.m3.36 kB21-03-02 14:54
Parzen.m1.26 kB18-02-02 16:00
PCA.m969.00 B18-02-02 15:00
Perceptron.m1.62 kB18-02-02 16:43
Perceptron_Batch.m1.33 kB21-03-02 14:49
Perceptron_BVI.m1.30 kB21-03-02 14:56
Perceptron_FM.m1.52 kB21-03-02 14:50
Perceptron_VIM.m1.24 kB21-03-02 14:54
plot_process.m319.00 B18-01-01 18:22
plot_scatter.m882.00 B22-02-01 17:24
PNN.m1.57 kB18-02-02 16:20
Pocket.m2.60 kB18-02-02 17:13
predict_performance.m1.73 kB23-01-02 17:05
Preprocessing.txt793.00 B21-03-02 15:01
process_params(1).m2.78 kB21-03-02 03:43
process_params.m2.78 kB17-01-05 22:19
Projection_Pursuit.m1.82 kB16-01-02 04:25
RBF_Network.m1.35 kB15-01-02 18:59
RCE.m1.64 kB18-02-02 16:35
RDA.m1.59 kB15-02-02 04:00
read_algorithms.m1.17 kB10-01-02 22:42
Relaxation_BM.m1.54 kB21-03-02 14:59
Relaxation_SSM.m1.49 kB21-03-02 14:59
seperable.mat16.85 kB03-01-00 19:01
SOHC.m2.38 kB24-12-01 17:12
spiral.mat33.45 kB25-03-02 17:37
start_classify.m7.28 kB19-05-02 15:22
Stochastic_SA.m3.42 kB21-03-02 15:00
Store_Grabbag.m2.21 kB16-01-02 16:48
Stumps.m2.12 kB08-02-02 03:43
SVM.m5.42 kB12-07-02 01:15
voronoi_regions.m723.00 B26-01-00 21:14
Voted_Perceptron.m4.23 kB21-03-02 03:43
XOR.mat34.23 kB15-02-02 04:00
_D=A16.71 kB18-01-05 18:46
_M=A16.71 kB18-01-05 18:46
_N=D16.71 kB18-01-05 18:46
_S=A16.71 kB18-01-05 18:48
<mitmatlab>0.00 B09-07-08 09:13
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数据挖掘中经典算法的matlab代码,相当全面! (345.43 kB)

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