cluster

Documentation

Index

• func ClusterTrajectoriesDirectly(exp *trajectory.Experiment, granularities []int, path string) error
• func Mcl(mciFilePath string, granularity int) error
• func McxDump(clusterFileName string, tabFileName string, outFileName string, ...) error
• func McxLoadAbc(abcFilePath string, tabFilePath string, mciFilePath string) error
• func SorensenDiceTrajectory(t1, t2 *trajectory.Trajectory) float64
• func SzymkiewiczSimpsonTrajectory(t1, t2 *trajectory.Trajectory) float64

Functions

func ClusterTrajectoriesDirectly

func ClusterTrajectoriesDirectly(exp *trajectory.Experiment, granularities []int, path string) error

ClusterTrajectoriesDirectly performs clustering of the trajectories that have been calculated for a given experiment. It does a pairwise comparison of all trajectories by calculating the jaccard similarity coefficients. Subsequently, MCL clustering is used to group the trajectories by jaccard similarity into clusters.

func Mcl

func Mcl(mciFilePath string, granularity int) error

Mcl calls the mcl binary.

func McxDump

func McxDump(clusterFileName string, tabFileName string, outFileName string, granularity int) error

McxDump calls the mcxdump binary.

func McxLoadAbc

func McxLoadAbc(abcFilePath string, tabFilePath string, mciFilePath string) error

McxLoadAbc calls the mcxload binary for an abc-file.

func SorensenDiceTrajectory

func SorensenDiceTrajectory(t1, t2 *trajectory.Trajectory) float64

SorensenDiceTrajectory computes the SorensenDice similarity coefficient for two given trajectories.

func SzymkiewiczSimpsonTrajectory

func SzymkiewiczSimpsonTrajectory(t1, t2 *trajectory.Trajectory) float64

SzymkiewiczSimpsonTrajectory computes the Szymkiewicz-Simpson similarity coefficient for two given trajectories.