search for: clusterwise

hi there, whenever i try the clusterwise regression from the fpc package, there occurs the following problem: the first cluster is always designed in a way, that when i run a normal linear regression on the independent variables to describe the dependent variable (only on those respondents from the first cluster) - then the regression u...

Hi, this is to announce a new version (1.1-2) of my package fpc. Apart from the stuff already present in the older version (methods for fixed point clustering and clusterwise regression, somewhat bug-cleaned and with faster examples) there is now a function cluster.stats, which computes some distance-based statistics often used for cluster validation, description and decision about the number of clusters, including the so-called corrected rand index and some further met...

Hi, this is to announce a new version (1.1-2) of my package fpc. Apart from the stuff already present in the older version (methods for fixed point clustering and clusterwise regression, somewhat bug-cleaned and with faster examples) there is now a function cluster.stats, which computes some distance-based statistics often used for cluster validation, description and decision about the number of clusters, including the so-called corrected rand index and some further met...

Dear R-users, I have a two - dimensional data set which needs to be clustered into groups: I'm searching for groups of points which show a positive correlation (in a twodimensional plot of the data set), but I do not have any knowledge about how many groups there might be. Do you know of a clustering algorithm in R (or in general) which can use a-priori information about the cluster's