文件名称:misc
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 21kb
- 下载次数：
- 0次
- 提 供 者：
- 林*
- 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！
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Probability distribution functions.
estimation - (dir) Probability distribution estimation.
dsamp - Generates samples from discrete distribution.
erfc2 - Normal cumulative distribution function.
gmmsamp - Generates sample from Gaussian mixture model.
gsamp - Generates sample from Gaussian distribution.
cmeans - C-means (or K-means) clustering algorithm.
mahalan - Computes Mahalanobis distance.
pdfgauss - Computes probability for Gaussian distribution.
pdfgmm - Computes probability for Gaussian mixture model.
sigmoid - Evaluates sigmoid function.-Probability distribution functions.
estimation- (dir) Probability distribution estimation.
dsamp- Generates samples from discrete distribution.
erfc2- Normal cumulative distribution function.
gmmsamp- Generates sample from Gaussian mixture model.
gsamp- Generates sample from Gaussian distribution.
cmeans- C-means (or K-means) clustering algorithm.
mahalan- Computes Mahalanobis distance.
pdfgauss- Computes probability for Gaussian distribution.
pdfgmm- Computes probability for Gaussian mixture model.
sigmoid- Evaluates sigmoid function.
estimation - (dir) Probability distribution estimation.
dsamp - Generates samples from discrete distribution.
erfc2 - Normal cumulative distribution function.
gmmsamp - Generates sample from Gaussian mixture model.
gsamp - Generates sample from Gaussian distribution.
cmeans - C-means (or K-means) clustering algorithm.
mahalan - Computes Mahalanobis distance.
pdfgauss - Computes probability for Gaussian distribution.
pdfgmm - Computes probability for Gaussian mixture model.
sigmoid - Evaluates sigmoid function.-Probability distribution functions.
estimation- (dir) Probability distribution estimation.
dsamp- Generates samples from discrete distribution.
erfc2- Normal cumulative distribution function.
gmmsamp- Generates sample from Gaussian mixture model.
gsamp- Generates sample from Gaussian distribution.
cmeans- C-means (or K-means) clustering algorithm.
mahalan- Computes Mahalanobis distance.
pdfgauss- Computes probability for Gaussian distribution.
pdfgmm- Computes probability for Gaussian mixture model.
sigmoid- Evaluates sigmoid function.
相关搜索： mahalanobis
gaussian
gmm
MISC
Mahalanobis
distance
k
means
clustering
for
gaussian
distribution
gmmsamp
probability
clustering
algorithm
gsamp
gaussian
gmm
MISC
Mahalanobis
distance
k
means
clustering
for
gaussian
distribution
gmmsamp
probability
clustering
algorithm
gsamp
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下载文件列表
misc
....\adaboost.m
....\adaclass.m
....\cerror.m
....\cerror.m~
....\Contents.m
....\crossval.m
....\knnclass.m
....\knnclass_mex.c
....\knnclass_mex.dll
....\knnclass_mex.mexa64
....\knnclass_mex.mexglx
....\knnrule.m
....\roc.m
....\roc.m~
....\weaklearner.m
....\weaklearner_fast.m
....\adaboost.m
....\adaclass.m
....\cerror.m
....\cerror.m~
....\Contents.m
....\crossval.m
....\knnclass.m
....\knnclass_mex.c
....\knnclass_mex.dll
....\knnclass_mex.mexa64
....\knnclass_mex.mexglx
....\knnrule.m
....\roc.m
....\roc.m~
....\weaklearner.m
....\weaklearner_fast.m