[R] self defined distance matrix in NbClust

[eliza botto]

i m using a package NbClust for cluster analysis. in the following algorithm

->NbClust(m, diss="NULL", distance = "euclidean", min.nc=2, max.nc=15, method = "ward", index = "all", alphaBeale = 0.1)

i want to define my own dissimilarity matrix of dimension 38*38. my original data "m" is a matrix of 365*38. whenever i define my own dissimilarity matrix the window shows the following error

(Error in if (is.na(n) || n > 65536L) stop("size cannot be NA nor exceed 65536") :
missing value where TRUE/FALSE needed)
any help in this regards will be deeply appreciated as it is getting extremely fustrating.

kind regards
eliza botto
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[s.s.m. fauzi]

Hi,

I have big .csv file. I would like to filter that file into a new table.



For example, I have .csv file as below:



f1 f2 f3 f4 f5 f6 f7 f9 f10 f11

t1 1 0 1 0 1 0 0 0 0 1

t2 1 0 0 0 0 1 1 1 1 1

t3 0 0 0 0 0 0 0 0 0 0

t4 1 0 0 0 1 0 0 0 0 0

t5 0 0 0 0 0 0 0 0 0 0

t6 0 0 0 0 0 0 0 0 0 0



I want to filter the table above to another table as below. It will only
show an information which have a dependency.



As you can see below, t1 has a dependency with t2 and t4, because f1 has a
same value (value 1) with t2 and t4.

Also, f5 has a same value with f5 in t4.

Also, f10 has a same value with f10 in t2.



f1 f2 f3 f4 f5 f6 f7 f9 f10 f11

t1 1 0 1 0 1 0 0 0 0 1

t2 1 0 0 0 0 1 1 1 1 1

t4 1 0 0 0 1 0 0 0 0 0



New table (with row and column header) should be then saved in a new .csvfile.