algorithm_dbscan

Documentation

Index

• type DBSCAN
  • func (k *DBSCAN) Accuracy(predict []int64, labels []int64) float64
  • func (k *DBSCAN) Fit(data [][]float64) *outData
  • func (k *DBSCAN) InitAlgorithm(minSamples int, eps float64)

Types

type DBSCAN

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

func (*DBSCAN) Accuracy

func (k *DBSCAN) Accuracy(predict []int64, labels []int64) float64

Accuracy calculates the quality metric

func (*DBSCAN) Fit

func (k *DBSCAN) Fit(data [][]float64) *outData

Fit accepts a data set and divides it into clusters using the DBSCAN method

func (*DBSCAN) InitAlgorithm

func (k *DBSCAN) InitAlgorithm(minSamples int, eps float64)

InitAlgorithm shows tree in console