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lsta
2009 Jun 11
1
Cluster analysis, defining center seeds or number of clusters
I use kmeans to classify spectral events in high and low 1/3 octave bands:
#Do cluster analysis
CyclA<-data.frame(LlowA,LhghA)
CntrA<-matrix(c(0.9,0.8,0.8,0.75,0.65,0.65), nrow = 3, ncol=2, byrow=TRUE)
ClstA<-kmeans(CyclA,centers=CntrA,nstart=50,algorithm="MacQueen")
This works well when the actual data shows 1,2 or 3 groups that are not
"too close" in a cross plot. The MacQueen algorithm will give one or more
empty groups which is what I want.
However, there are cases when the...