Re: [R] How-Understand-Kmeans-Cluster!!

From: Frank Thomas <news.ftr_at_free.fr>
Date: Tue 16 May 2006 - 05:59:09 EST

Joshua,

If you want a comparison of different distance measures try
> the paper of *Johann* *Bacher* who is a specialists in *cluster* methods.
> He published an in-depth text on his web site
> http://www.soziologie.wiso.uni-erlangen.de/koeln/
>
> Regards,
F. Thomas

j.joshua thomas wrote:
> Hi All,
>
> I am using RGui 2.3.0 library(stats) and using K-means Clustering to cluster
> data.matrix.(DDset)
>
> DDset (matrix 575 x 2)
>
> Exams (character) Slot (numeric)
> AAW326 35
> BWA345 45
> ............... .....
>
> ZXE 453 67
>
> DDset[,2]
>
> [1] 29 37 24 7 22 22 21 24 26 31 39 21 17 7 24 37 26 33 7 31 39 29 24
> 20 2
> [26] 40 8 16 1 31 6 32 2 13 16 16 40 16 40 16 33 9 20 2 22 36 40 3
> 25 2
> [51] 22 40 32 2 2 13 21 40 2 22 18 13 26 32 8 30 39 28 28 35 14 14 5
> 8 18
> [76] 20 38 26 40 22 18 28 24 5 26 21 17 14 28 1 23 21 37 22 31 13 6 5
> 24 39
> [101] 34 5 32 28 32 34 22 7 38 38 6 14 21 28 7 36 33 21 28 38 36 5 7
> 38 2
> [126] 40 38 5 2 7 38 33 2 7 26 40 38 16 18 14 38 13 6 40 38 14 14 33
> 1 33
> [151] 36 31 36 3 30 16 6 23 37 25 26 22 24 28 32 23 30 15 3 8 3 26 39
> 13 8
> [176] 5 5 32 6 3 28 34 30 5 26 28 13 2 5 17 23 18 33 38 22 40 6 32
> 29 26
> [201] 36 5 1 3 37 36 16 24 30 26 7 29 2 8 20 13 22 28 15 32 23 34 27
> 13 39
> [226] 32 2 16 1 37 24 2 39 28 20 18 30 26 19 14 21 32 28 24 6 20 36 21
> 32 27
> [251] 6 29 35 37 17 23 21 15 38 15 34 17 32 22 13 7 23 13 34 39 5 25 21
> 14 29
> [276] 40 38 6 21 5 33 33 14 1 23 21 23 33 32 4 26 36 17 6 20 29 6 26
> 36 34
> [301] 20 39 2 36 1 20 28 36 30 32 23 23 1 24 22 28 8 8 36 35 26 13 30
> 13 36
> [326] 37 17 1 30 18 13 9 4 6 39 38 15 32 18 30 30 13 1 35 3 30 15 21
> 29 8
> [351] 25 29 1 22 32 31 33 24 34 39 35 23 31 33 26 30 26 25 40 33 9 38 9
> 20 34
> [376] 34 5 30 33 9 38 9 9 20 34 34 17 8 3 37 8 29 13 16 18 22 39 16
> 22 16
> [401] 24 16 30 27 37 30 9 40 28 24 39 36 5 7 7 32 16 30 35 26 22 23 13
> 34 25
> [426] 21 37 21 34 6 32 6 8 36 1 21 40 13 24 18 33 38 4 25 3 34 17 37
> 13 34
> [451] 39 27 38 25 36 22 26 16 25 21 36 5 30 39 18 14 23 2 6 6 32 28 40
> 30 20
> [476] 22 1 34 1 27 24 31 24 40 20 5 3 26 27 38 6 13 20 27 29 17 25 29
> 22 33
> [501] 9 9 31 28 18 16 35 40 4 13 36 37 21 26 32 16 25 34 21 27 32 1 5
> 6 36
> [526] 1 24 38 13 16 34 30 24 24 7 21 6 7 33 6 2 26 38 32 3 5 28 26
> 28 38
> [551] 27 22 26 29 27 7 5 13 23 26 21 3 38 5 8 28 8 22 5 33 24 18 21
> 32 13
>
>
> I already have pre-process of the data i.e *Exam AAW326* is assigned to the
> *slot-29 *which is the dataset
> DDset. By using Kmeans-Clustering i am grouping the dataset accordingly. How
> can i do the clustering
> from the datset (DDset)? How can i understand the *similarities and
> dis-similarities*? Will Kmeans-Clustering
> helps on this problem? Where can i get *more tutorials* on
> kmeans-clustering?
>
> Thanks for reading this email.
>
> Thanks in Advance
>
> JJ
> ---
>
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-- 
..........................................
Dr. Frank Thomas
FTR Internet Research
93110 Rosny-sous-Bois
France



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Received on Tue May 16 06:11:57 2006

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