goem

Documentation

Index

• type BinaryParams
• type EM
  • func NewEM(sig float64, cluster int, data [][]float64, mean float64) *EM
  • func NewOptimizedEM(sig float64, end int, partition int, iter int, data [][]float64, mean float64, ...) *EM
  • func (em EM) CrossEntropy(end int, partition int, iter int, mean float64) (bestCluster int)
  • func (em EM) EmIter(times int, loglike float64, verbose bool, directory string)
  • func (em EM) Plot(fileid int, directory string)
  • func (em EM) Show()

Types

type BinaryParams

type BinaryParams struct {
	// contains filtered or unexported fields
}

BinaryParams is needed to use goroutine.

type EM

type EM struct {
	// contains filtered or unexported fields
}

EM is EM-algorithm class.

func NewEM

func NewEM(sig float64, cluster int, data [][]float64, mean float64) *EM

NewEM is initializer of struct EM.

func NewOptimizedEM

func NewOptimizedEM(sig float64, end int, partition int, iter int, data [][]float64, mean float64, goroutine bool) *EM

NewOptimizedEM generates EM object with optimized param by cross-entropy

func (EM) CrossEntropy

func (em EM) CrossEntropy(end int, partition int, iter int, mean float64) (bestCluster int)

CrossEntropy calculates the best cluster number.

func (EM) EmIter

func (em EM) EmIter(times int, loglike float64, verbose bool, directory string)

EmIter culcurates EM algorithm.

func (EM) Plot

func (em EM) Plot(fileid int, directory string)

Plot plots only 2-dimensional cluster and points

func (EM) Show

func (em EM) Show()

Show shows the result.