sensory {sensory} | R Documentation |
Cluster-Wise Imputation via a PEM Algorithm
Description
Contains the function CUUimpute() which performs model-based clustering and imputation simultaneously.
Details
Package: | sensory |
Type: | Package |
Version: | 1.0 |
Date: | 2014-08-07 |
License: | GPL (>=2) |
This package contains two data sets collected at Compusense Inc. in Guelph, Ontario, Canada, a modified version of Fisher's Irises, and the function CUUImpute().
Author(s)
Brian C. Franczak, Ryan P. Browne and Paul D. McNicholas
Maintainer: Brian C. Franczak <bfrancza@math.mcmaster.ca>
References
P.D. McNicholas and T.B. Murphy (2008). Parsimonious Gaussian Mixture Models. Statistics and Computing (18), 285-296.
Browne, R.P., P.D. McNicholas, and C.J. Findlay (2013). A partial EM algorithm for clustering white breads. arXiv preprint arXiv:1302.6625.
See Also
Details, examples, and references are given under CUUimpute
[Package sensory version 1.1 Index]