model.C.mean.vector
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fscanf(InFilePtr, "%d", &SizeVector); // Read dimension of vector fscanf(InFilePtr, "%d", &NumClusters); // Read # of clusters for K-Means for (i=0; i<NumPatterns; i++) { // For each vector for (j=0; j<SizeVector; j++) { // create a pattern fscanf(InFilePtr,"%...
The fuzzy c-means is a fuzzy variant of the k-means partitional algorithm. With fuzzy c-means, the centroid (also called a prototype) of a cluster is computed as being the mean of all examples, weighted by their degree (uk) of belonging to the cluster Ck: (12.47)centerk=∑tukmt⋅...
其中,聚类分析方法[2]在异常检测中占有重要的地位。本文首先介绍了非技术损失的概念,然后选用聚类技术中的模糊c均值FCM(fuzzy c-mean)对某供电公司的100个电力用户负荷曲线进行了聚类分析,以找出那些可能存在违规用电行为的客户。 1 非技术损失 非技术损失[3]主要涉及电力盗窃和用户管理过程中大量存在的各式各样欺骗...
Compiler warning (level 4) C4752found Intel(R) Advanced Vector Extensions; consider using/arch:AVX Compiler warning C4753Cannot find bounds for pointer; MPX intrinsic function ignored Compiler warning (level 4) C4754Conversion rules for arithmetic operations in the comparison at %s(%d) mean that ...
This paper considers the problems of estimating a mean vector [mu] under constraint [mu]'[Sigma]-1[mu] = 1 or [Sigma]-1/2[mu] = c and derives the best equivariant estimators under the loss (a - [mu])' [Sigma]-1(a - [mu]), which dominate the MLE's uniformly. The results ...
extern void mean_filter(const unsigned char* src, unsigned char* dst, unsigned int width, unsigned int height, unsigned int filterSize); The Port specification table shows the details of your arguments and how they connect to your C Caller block in Simulink. The table has these columns: Name...
KD-tree look-up directly onstd::vector<std::vector<T> >orstd::vector<Eigen::VectorXd>:vector_of_vectors_example.cpp Example with aMakefilefor usage throughpkg-config(for example, after doing a "make install" or after installing from Ubuntu repositories):example_with_pkgconfig/ ...