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sensory (version 1.0)

sensory: Cluster-Wise Imputation via a PEM Algorithm

Description

Contains the function CUUimpute() which performs model-based clustering and imputation simultaneously.

Arguments

Details

ll{ 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 prerpeint arXiv:1302.6625.

See Also

Details, examples, and references are given under CUUimpute