文件名称:hddc_toolbox_1.0
- 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：
- 49kb
- 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
The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.
Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data Clustering, Computational Statistics and Data Analysis, to appear, 2007-The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.
Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data Clustering, Computational Statistics and Data Analysis, to appear, 2007
Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data Clustering, Computational Statistics and Data Analysis, to appear, 2007-The High Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifiers for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data.
Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data Clustering, Computational Statistics and Data Analysis, to appear, 2007
(系统自动生成,下载前可以参看下载内容)
下载文件列表
hddc_toolbox
............\crabs.mat
............\em_hdda
............\.......\em_hdda.m
............\.......\em_hdda_devel.m
............\.......\em_hdda_old.m
............\hddc_classif.m
............\hddc_demo.m
............\hddc_learn.m
............\hddc_learn_fast.mexglx
............\source
............\......\hddc_learn.c
............\......\hddc_learn_fast.c
............\......\hddc_learn_fast.mexglx.gcc-3.x
............\......\hddc_learn_fast.mexglx.gcc-4.x
............\crabs.mat
............\em_hdda
............\.......\em_hdda.m
............\.......\em_hdda_devel.m
............\.......\em_hdda_old.m
............\hddc_classif.m
............\hddc_demo.m
............\hddc_learn.m
............\hddc_learn_fast.mexglx
............\source
............\......\hddc_learn.c
............\......\hddc_learn_fast.c
............\......\hddc_learn_fast.mexglx.gcc-3.x
............\......\hddc_learn_fast.mexglx.gcc-4.x