sensory: 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().
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