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模糊c-均值算法是模糊聚类
- 模糊c-均值算法是模糊聚类中最常见、应用最广泛的分析方法之一．经典FCM算法理论和应用的研究已经相当成熟，Bezdek业已证明算法的收敛性［6］，许多软件提供了多种方便的FCM工具箱(如Matlab中FCM工具箱等)．但是传统FCM算法处理的是普通数据集，不能直接处理区间数，得到的聚类原型也不是区间数．针对区间数，一种直觉的方法是分别对左区间值和右区间值作FCM，并把得到的聚类原型分别作为区间型聚类原型的左右区间值，但这种方法已经被证明是行不通的［6］-fuzzy c-means cluster
imlook3dv12
- Display 3D Images Matlab三维图像显示(DICOM MR CT PET等) 2009年02月17日 MATLAB 7 (R14) 这是一个三维图像显示的Matlab实例程序。支持DICOM MR CT PET等图像格式。并且可以对每一帧进行图像处理，如直方图均衡、绘制，反色等。 -Display 3D Images Matlab three-dimensional image display (DICOM MR CT PET and so on)
imlook3dv12
- 这是一个三维图像显示的Matlab实例程序。支持DICOM MR CT PET等图像格式。 -This is an example of three-dimensional image display of the Matlab program. Support for DICOM MR CT PET and other image formats.
emission
- 实现PET/SPECT 幻影图像regression的matlab源代码 algorithms for Poisson emission tomography PET/SPECT/ Poisson regression eml_ emission maximum likelihood eql_ emission quadratically penalized likelihood epl_ emission penalized likelihood-The reali
mlem
- 关于最大似然重建方法的实现，可用于tomography reconstruction-This is the code for maximum likelihood expectation maximum reconstruction method which is frequently applied in tomography reconstruction, such as CT and PET
petAnalyzeImage
- pet analyze image: a non-negative matrix factorization code for pet analysis
pet
- Matlab text drawing - using splines and conrol points
PEToolbox
- PET toolbox for matlab
source_number_detection_PET
- 信号源数目估计,采用PET算法,假设空间白噪声,包括matlab实现代码和例程- Detection of the number of sources with predicted eigenvalue threshold. The method assumes that the noise is spatially white.
matlab-code-for-image-fusion-using-maximum-method
- this a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medical image processing.-this is a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medic
NMF-DTU-Toolbox
- matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法-Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: p