Re: [R] cluster analysis and supervised classification: an alternative to knn1?

Hi Ulrich, I'm studying the principles of Affinity Propagation and I'm really glad to use your package (apcluster) in order to cluster my data. I have just an issue to solve.. If I apply the funcion: apcluster(sim) where sim is the matrix of dissimilarities, sometimes I encounter the warning

[R] daisy(): space allocation issue

Hi, I'm trying to apply the function daisy() to a data.frame 1x10 but I have not enough space (error message: cannot allocate vector of length 1476173280). I didn't imagine I was not able to work with a matrix of just 1 observations... I have setted in Rgui --max-mem-size=2G (I'm not abl

[R] Time series clustering

Hi, I have 1000 monthly time series (just a year) and I want to cluster them. for instance (x): jan 2010 feb 2010 mar 2010 apr 2010 ... ts 1: 12300 12354550 1233 12312 ... ts 2:23423232 2323 232323 ... ... My approach is applying clara

Re: [R] Knowledge discovery

with "table" function you can just build a contigence table. What do you think about "arules" package? I thought "mining associative rules" is the correct approach to the problem.. Thanks Abanero -- View this message in context: http://r.789695.n4.

[R] Knowledge discovery

Hi, I have 10 units with 10 attributes (attr1, attr2, attr3, etc...) For instance: unit attr1 attr2 attr3 ... 1 a ww 12 2 a re 11 3 b ww 09 4 c yt 02 5 a qw 02 ... I'd like to answer to the question: a

Re: [R] cluster analysis and supervised classification: an alternative to knn1?

Ulrich wrote: >Affinity propagation produces quite a number of clusters. I tried with q=0 and produces 17 clusters. Anyway that's a good idea, thanks. I'm looking to test it with my dataset. So I'll probably use daisy() to compute an appropriate dissimilarity then apcluster() or another meth

Re: [R] cluster analysis and supervised classification: an alternative to knn1?

Hi, thank you Joris and Ulrich for you answers. Joris Meys wrote: >see the library randomForest for example I'm trying to find some example in randomForest with categorical variables but I haven't found anything. Do you know any example with both categorical and numerical variables? Anyway I

[R] cluster analysis and supervised classification: an alternative to knn1?

Hi, I have a 1.000 observations with 10 attributes (of different types: numeric, dicotomic, categorical ecc..) and a measure M. I need to cluster these observations in order to assign a new observation (with the same 10 attributes but not the measure) to a cluster. I want to calculate for the