partition

partition

A fast and flexible framework for agglomerative partitioning in R

Introducing the partition package

I’m pleased to announce the CRAN release of partition 0.1.0. partition is a fast and flexible data reduction framework that minimizes information loss and creates interpretable clusters. partition uses agglomorative clustering: it starts from the ground up, matching pairs of variables and assessing the amount of information that would be explained by their reduction. If the information is above this user-specified threshold, the data is reduced. This type of reduction is particularly useful in very redundant data, such as high-resolution genetic data.