文件名称:cvap3.5
- 所属分类：
- 语音合成与识别
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 252kb
- 下载次数：
- 0次
- 提 供 者：
- tra b*****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported.-CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering, SOM and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported.
相关搜索： hierarchical
clustering
matlab
correlation
filter
codes
pam
clustering
SOM
Pearson
Correlation
Cvap
SOM
matlab
k
means
clustering
clustering
validity
clustering
matlab
correlation
filter
codes
pam
clustering
SOM
Pearson
Correlation
Cvap
SOM
matlab
k
means
clustering
clustering
validity
(系统自动生成,下载前可以参看下载内容)
下载文件列表
agg_hierarchical.m
Copyright.txt
CVAP-examples.pdf
daisy.m
daisyc.dll
datafile
........\iris-solution.txt
........\iris.txt
........\leuk72_3k.txt
data_normalization.m
find_nearpoint.m
ind2cluster.m
License_Netlab.txt
mainCVAP.fig
mainCVAP.m
mainCVAP6.fig
mainCVAP6.m
neural_gas.m
pam.m
pamc.dll
pca_of_data.m
plot_data_bylabels.m
Readme.txt
show2dim_byclass.m
similarity_euclid.m
similarity_pearson.m
similarity_pearsonC.m
som.m
somtrain.m
som_netlab.m
valid_clear_clustering.m
valid_clear_plotting.m
valid_clear_validation.m
valid_clusteringAlgs.m
valid_data_load.m
valid_data_plot.m
valid_data_plot_check.m
valid_data_split.m
valid_DbDunn.m
valid_errorate.m
valid_errorate_check.m
valid_external.m
valid_findk.m
valid_hierarchical.m
valid_internal.m
valid_internal_deviation.m
valid_internal_intra.m
valid_intrainter.m
valid_mutiple_validation.m
valid_plot_hierarchytree.m
valid_plot_index.m
valid_print_label.m
valid_redraw.m
valid_runclustering.m
valid_runvalidation.m
valid_sapcluster.m
valid_save_solution.m
valid_solution_load.m
valid_sumpearson.m
valid_sumsqures.m
valid_validation_check.m
xlim2.m
Copyright.txt
CVAP-examples.pdf
daisy.m
daisyc.dll
datafile
........\iris-solution.txt
........\iris.txt
........\leuk72_3k.txt
data_normalization.m
find_nearpoint.m
ind2cluster.m
License_Netlab.txt
mainCVAP.fig
mainCVAP.m
mainCVAP6.fig
mainCVAP6.m
neural_gas.m
pam.m
pamc.dll
pca_of_data.m
plot_data_bylabels.m
Readme.txt
show2dim_byclass.m
similarity_euclid.m
similarity_pearson.m
similarity_pearsonC.m
som.m
somtrain.m
som_netlab.m
valid_clear_clustering.m
valid_clear_plotting.m
valid_clear_validation.m
valid_clusteringAlgs.m
valid_data_load.m
valid_data_plot.m
valid_data_plot_check.m
valid_data_split.m
valid_DbDunn.m
valid_errorate.m
valid_errorate_check.m
valid_external.m
valid_findk.m
valid_hierarchical.m
valid_internal.m
valid_internal_deviation.m
valid_internal_intra.m
valid_intrainter.m
valid_mutiple_validation.m
valid_plot_hierarchytree.m
valid_plot_index.m
valid_print_label.m
valid_redraw.m
valid_runclustering.m
valid_runvalidation.m
valid_sapcluster.m
valid_save_solution.m
valid_solution_load.m
valid_sumpearson.m
valid_sumsqures.m
valid_validation_check.m
xlim2.m