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MeanShift

R package to perform clustering of vector data and functional data using the mean shift algorithm.

version 1.1-1

  • changes to the way "projectCurveWavelets" handles irregularly spaced data
  • minor fixes to Vignette 2

version 1.1-0

  • added support for functional data via wavelet smoothing and thresholding via the "projectCurveWavelets" function
  • included Vignette 1 - Clustering via the Mean Shift Algorithm
  • included Vignette 2 - Clustering Functional Data via the Mean Shift Algorithm

version 1.0-2

  • fixed a bug that caused the functions "msClustering" and "bmsClustering" to produce an error if called with a value different than the default value for the argument "kernel"
  • fixed a typo in the documentation of the function "msClustering": "options( mc.core=n.cores )" in the older documentation now correctly reads "options( mc.cores=n.cores )"
  • other minor edits to the package documentation

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Version

Install

install.packages('MeanShift')

Monthly Downloads

14

Version

1.1-1

License

GPL-3

Maintainer

Mattia Ciollaro

Last Published

April 23rd, 2016

Functions in MeanShift (1.1-1)

bmsClustering

Function to perform clustering using the blurring version of the mean shift algorithm.
MeanShift-package

\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}MeanShiftClustering via the Mean Shift Algorithm
msClustering

Function to perform clustering using the mean shift algorithm.
projectCurveWavelets

Function to project a curve on a wavelet basis.