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Re: Clustering [message #78182 is a reply to message #54850]

Mon, 31 October 2011 04:56

kidpix
Messages: 23
Registered: July 2007

Junior Member

Hi Kai,
to mee it make a lot of sense. It looks similar to what I'm doing with spectra.

I assume you have a 50 bands - 2000x360=720000 pixels images.

I'm using CLUSTER_TREE to classify all the spectra, there is as sample of what I do.

;- fake data
seed_value = 5L
K_max = 20
J_max = 36
A = RANDOMN(seed, K_max, 50, J_max)

;-- histogram from pixel K=J=0 A[K,*,J]
K=0
J=0
plot,HISTOGRAM(A[K,*,J],BINSIZE=(max(A)-min(A))/149,MIN=min( A),MAX=max(A)),psym=10

help,A(*,0,*) ;-- 2000x360 pixels images
help,A(0,*,0) ;-- each image has 50 bands

;-- assemble the histogram array
Histo_A = fltarr(K_max, 150, J_max)

for K=0,K_max-1 do for J=0,J_max-1 do Histo_A[K,*,J]= HISTOGRAM(A[K,*,J],BINSIZE=(max(A)-min(A))/149,MIN=min(A),MA X=max(A))

help,Histo_A

;-- arrange the data as a [K_max*J_max, 150] array
Histo_A_array = fltarr(K_max*J_max, 150)
for K=0,K_max-1 do for J=0,J_max-1 do Histo_A_array[K*J,*] = Histo_A[K,*,J]

;-- Clusterization using cluster_tree
distance_matrix = DISTANCE_MEASURE(Histo_A_array, MEASURE = 0,/matrix
clusters_dend = CLUSTER_TREE(distance_matrix,linkdistance,LINKAGE=2,data=His to_A_array,MEASURE=0)

cluster_matrix = cluster_member(clusters_dend)

The only problem is that you have to explore the whole cluster_matrix and decide which are meaningful clusters to you.
[the cluster_member comes from https://groups.google.com/forum/#!topic/comp.lang.idl-pvwave /UUVL0MkS0zE]

Cheers,
Mario.

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[Message index]

		clustering By: nivedita.raghunath on Tue, 17 July 2007 08:36
		Re: clustering By: Vince Hradil on Thu, 19 July 2007 10:30
		Re: clustering By: nivedita.raghunath on Thu, 19 July 2007 09:12
		Re: clustering By: Vince Hradil on Thu, 19 July 2007 13:46
		Re: clustering By: Conor on Wed, 18 July 2007 12:07
		Re: clustering By: Vince Hradil on Mon, 23 July 2007 11:22
		Re: clustering By: James Kuyper on Mon, 23 July 2007 11:16
		Re: clustering By: little davey on Mon, 23 July 2007 10:14
		Re: clustering By: little davey on Mon, 23 July 2007 09:08
		Re: clustering By: Conor on Mon, 23 July 2007 06:49
		Re: clustering By: nivedita.raghunath on Mon, 23 July 2007 06:45
		Re: Clustering By: Kai Mühlbauer on Tue, 01 November 2011 03:01
		Re: Clustering By: Kai Muehlbauer on Mon, 31 October 2011 08:40
		Re: Clustering By: Jeremy Bailin on Tue, 01 November 2011 12:16
		Re: Clustering By: kidpix on Mon, 31 October 2011 04:56
		Re: Clustering By: Kai Mühlbauer on Fri, 28 October 2011 10:07
		Re: clustering By: kisCA on Wed, 07 March 2012 13:37
		Re: clustering By: Russell[1] on Wed, 07 March 2012 09:32

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