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 > --- > > > > > > > > > > > > > -- .......................................... Dr. Frank Thomas FTR Internet Research 93110 Rosny-sous-Bois France -- ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
