Thanks Guys ,
I am able to generate the distance matrix for mixed column values ( categorical
and ordinal ) using daisy function
But can anyone tell me how to generate clusters out of it , The point being i
dont know the number of cluster beforehand
Let me give an overview of the problem i am trying to solve is
Given a dataset , something like below
var1 var2 var3 Size
element1-1 yes x present 100
element1-2 no y absent 294
element1-3 maybe x absent 45
The first 3 variables being categorical and last one being ordinal
I need to do the following
1 ) Generate clusters out of it ( let say they are "training clusters" )
I am able to compute distance matrix ( using daisy ) , but not
sure how to create unknown numbers of clusters , dbscan work on a distance
matrix
2 ) Once that is done i want to spread some new data points in the above plot
space ( lets say these are "test points" )
3) Find out which "test points" are lying within a boundary of any above
discovered training clusters
If anyone know how to get this done then please let me know
Its for an academic project and i am unable to make any progress
Thanks and Regards
K
________________________________
From: Ingmar Visser <i.vis...@uva.nl>
Sent: Fri, 11 June, 2010 2:19:33 PM
Subject: Re: [R] Finding distance matrix for categorical data
latent class analysis may be more appropriate depending on your hypotheses,
best, Ingmar
e:
All,
>
>>How can we find a distance matrix for categorical data
>
>>ie. given a csv below
>
>> var1 var2 var3 var4
>>element1-1 yes x a k
>>element1-2 no y b l
>>element1-3 maybe y c m
>
>>how can i compute the distance matrix between all the elements
>
>>Actually i need it to create clusters on top of it
>
>>Thanks & Regards
>>Kapil
>
>
>> [[alternative HTML version deleted]]
>
>>______________________________________________
>R-help@r-project.org mailing list
>https://stat.ethz.ch/mailman/listinfo/r-help
>>PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>>and provide commented, minimal, self-contained, reproducible code.
>
[[alternative HTML version deleted]]
______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
