文件名称:image_mva_0
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一个利用Matlab实现PCA(主成分分析),k_means图像分割很好的例子。-using Matlab a PCA (Principal Component Analysis), k_means image segmentation good example.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
image_mva_0
image_mva_0/ChooseInitialCentres.m
image_mva_0/dcFuzzy.m
image_mva_0/dcKMeans.m
image_mva_0/fastnnls.m
image_mva_0/fourdifft.m
image_mva_0/histogram.fig
image_mva_0/histogram.m
image_mva_0/image_mva_0.asv
image_mva_0/image_mva_0.fig
image_mva_0/image_mva_0.m
image_mva_0/image_mva_0_0.m
image_mva_0/image_mva_0_1.m
image_mva_0/image_mva_11.m
image_mva_0/image_mva_22.m
image_mva_0/im_class_MLE.m
image_mva_0/invder.m
image_mva_0/MaxMax.m
image_mva_0/mcr.m
image_mva_0/MeanMean.m
image_mva_0/MinMin.m
image_mva_0/pca.m
image_mva_0/pca2.m
image_mva_0/pca_mean.asv
image_mva_0/pca_mean.m
image_mva_0/profiles.fig
image_mva_0/profiles.m
image_mva_0/sgolay.m
image_mva_0/sgolayfilt.m
image_mva_0/simplisma.m
image_mva_0/threshold.fig
image_mva_0/threshold.m
image_mva_0/threshold_grayscale_image.m
www.dssz.com.txt
image_mva_0/ChooseInitialCentres.m
image_mva_0/dcFuzzy.m
image_mva_0/dcKMeans.m
image_mva_0/fastnnls.m
image_mva_0/fourdifft.m
image_mva_0/histogram.fig
image_mva_0/histogram.m
image_mva_0/image_mva_0.asv
image_mva_0/image_mva_0.fig
image_mva_0/image_mva_0.m
image_mva_0/image_mva_0_0.m
image_mva_0/image_mva_0_1.m
image_mva_0/image_mva_11.m
image_mva_0/image_mva_22.m
image_mva_0/im_class_MLE.m
image_mva_0/invder.m
image_mva_0/MaxMax.m
image_mva_0/mcr.m
image_mva_0/MeanMean.m
image_mva_0/MinMin.m
image_mva_0/pca.m
image_mva_0/pca2.m
image_mva_0/pca_mean.asv
image_mva_0/pca_mean.m
image_mva_0/profiles.fig
image_mva_0/profiles.m
image_mva_0/sgolay.m
image_mva_0/sgolayfilt.m
image_mva_0/simplisma.m
image_mva_0/threshold.fig
image_mva_0/threshold.m
image_mva_0/threshold_grayscale_image.m
www.dssz.com.txt
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