Hello people,

I have a little difficulty interpreting the spss output of a hierarchical

cluster

analysis what does the agglomerate schedule of the average linkage represent

when a hierarchical cluster analysis has been done?

Hello people,

I have a little difficulty interpreting the spss output of a hierarchical

cluster

analysis what does the agglomerate schedule of the average linkage represent

when a hierarchical cluster analysis has been done?

On Thu, 3 Feb 2000 12:36:03 +0100, "Patrick van Lonkhuijzen"

> I have a little difficulty interpreting the spss output of a hierarchical

> cluster

> analysis what does the agglomerate schedule of the average linkage represent

> when a hierarchical cluster analysis has been done?

--

http://www.pitt.edu/~wpilib/index.html

The agglomeration schedule shows every step of the cluster agglomeration. if you

have n cases, at first step, it creates n-1 clusters, at second step n-2

clusters and so on until the last step, where it has agglomerated all cases into

one cluster. in the column in the middle the distance coefficient is shown. it

slowly increases from step to step. you should stop clustering at the one step

when the distance coefficient becomes immediately higher. (to find out, how many

clusters you have then, count from the last step backwards!)

good luck,

ulrike

> Hello people,

> I have a little difficulty interpreting the spss output of a hierarchical

> cluster

> analysis what does the agglomerate schedule of the average linkage represent

> when a hierarchical cluster analysis has been done?

thanks, I found I have a little problem because of the fact that I'm using

14134 observations when I tried with only 10, to gain a little insight, I

noticed how it worked I couldn't find it out because I had to many

observations which made it rather difficult to interpret when one doesn't

know how to. but it is good to know I figured it out the right way.

so thanks

Patrick

>The agglomeration schedule shows every step of the cluster agglomeration.

if you

>have n cases, at first step, it creates n-1 clusters, at second step n-2

>clusters and so on until the last step, where it has agglomerated all cases

into

>one cluster. in the column in the middle the distance coefficient is shown.

it

>slowly increases from step to step. you should stop clustering at the one

step

>when the distance coefficient becomes immediately higher. (to find out, how

many

>clusters you have then, count from the last step backwards!)

>good luck,

>ulrike

>> Hello people,

>> I have a little difficulty interpreting the spss output of a hierarchical

>> cluster

>> analysis what does the agglomerate schedule of the average linkage

represent

>> when a hierarchical cluster analysis has been done?

1. deriving intial cluster seeds from hierarchical clustering

Dear Friends:

I am conducting a cluster analysis and am following

the traditional method of conducting a hierarchical

cluster on a sample size first to generate a set of

feasible solutions. Then, I will feed each initial

solution into a k-mean clustering (proc fastclus) to

generate clusters. The final solution will be then

determined by some internal and external validation,

along with business inputs.

As you know, proc cluster (hierarchical) generate a

set of solutions all the from from one to say 40

clusters. I then look at the cubic clustering

criterion and select several feasible solutions.

Suppose I may want to try cluster # =4,5,6 all in

using k-mean. What I also like to do is to extract the

corresponding cluster centeriods to be used as the

initial seeds for the k-means. Can someone help me

with this problem? I checked the SAS manual and it

does not see to have an example.

thanks.

Hongjie

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