CKMeansLloydImpl类 参考

详细描述

Implementation class for the standard KMeans algorithm.

在文件 KMeansLloydImpl.h 第 23 行定义.

静态 Public 成员函数
static void	Lloyd_KMeans (int32_t k, CDistance *distance, int32_t max_iter, SGMatrix< float64_t > mus, SGVector< int32_t > ClList, SGVector< float64_t > weights_set, bool fixed_centers)

成员函数说明

void Lloyd_KMeans ( int32_t  k, CDistance *  distance, int32_t  max_iter, SGMatrix< float64_t >  mus, SGVector< int32_t >  ClList, SGVector< float64_t >  weights_set, bool  fixed_centers  )

static

Lloyd's KMeans training method

参数

k	parameter k
distance	distance
max_iter	max iterations allowed
mus	cluster centers matrix (k columns)
ClList	cluster number each data vector belongs (size no_of_vectors)
weights_set	no. of points belonging to each cluster (size k)
fixed_centers	keep centers fixed or not

在文件 KMeansLloydImpl.cpp 第 20 行定义.

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该类的文档由以下文件生成:

• KMeansLloydImpl.h
• KMeansLloydImpl.cpp