Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

meanshift-class

MeanShift model


Description

This class contains the model obtained by the MEANSHIFT method.

Slots

cluster

A vector of integers indicating the cluster to which each point is allocated.

value

A vector or matrix containing the location of the classified local maxima in the support.

data

The leaning set.

kernel

A string indicating the kernel associated with the kernel density estimate that the mean shift is optimizing over.

bandwidth

Used in the kernel density estimate for steepest ascent classification.

alpha

A scalar tuning parameter for normal kernels.

iterations

The number of iterations to perform mean shift.

epsilon

A scalar used to determine when to terminate the iteration of a individual query point.

epsilonCluster

A scalar used to determine the minimum distance between distinct clusters.

See Also


fdm2id

Data Mining and R Programming for Beginners

v0.9.5
GPL-3
Authors
Alexandre Blansché [aut, cre]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.