func main() {
rand.Seed(time.Now().UnixNano())
corpus := load.Newsgroups.Import()
gold := load.Newsgroups.Label(corpus)
mom := cluster.NewMoM(corpus, 20, .1, .01)
checker := cluster.NewConvergenceCheck(mom.Z)
converged := false
var dur time.Duration
var iter int
fmt.Println("iter\ttime\tchanges\tf-measure\tARI\tVI")
for !converged {
start := time.Now()
mom.CCM()
end := time.Now()
dur += end.Sub(start)
iter += 1
pred := eval.NewClusteringState(mom.Z)
cont := eval.NewContingency(gold, pred)
changes := checker.Check()
line := []string{
fmt.Sprintf("%d", iter),
fmt.Sprintf("%.3f", dur.Seconds()),
fmt.Sprintf("%d", changes),
fmt.Sprintf("%.3f", cont.FMeasure()),
fmt.Sprintf("%.3f", cont.ARI()),
fmt.Sprintf("%.3f", cont.VI())}
fmt.Println(strings.Join(line, "\t"))
converged = changes == 0
}
fmt.Println()
for z := 0; z < mom.T; z++ {
fmt.Printf("%d: %s\n", z, mom.TopicSummary(z, 10))
}
}
func MOM(c *pipeline.Corpus) *cluster.MoM {
return cluster.NewMoM(c, 20, .01, .01)
}