plot: PCA Plot of the Noise Score of Each Individual

In fmf: Fast Class Noise Detector with Multi-Factor-Based Learning

Description

This function plots the noise score for each observation

Usage

plot(
  score,
  data,
  cl,
  geom.ind = "text",
  labelsize = 3,
  geom_point_size = 3,
  ...
)

Arguments

score	a vector of values indicating the optential of being a noise.
data	matrix or data frame with no label.
cl	factor of true classifications of data set.
geom.ind	as geom for observations, which can be set to "text", "point" and "none". The default is "text".
labelsize	size of geom_text.
geom_point_size	size of geom_point and geom_none.
...	optional parameters to be passed to other methods.

Value

an plot of PCA with the noise score of each observation

Author(s)

Wanwan Zheng

Examples

data(iris)
out = fmf(Species~.,iris)
plot(out$noise_score, iris[,-1], iris[,1])

fmf documentation built on Sept. 3, 2020, 9:07 a.m.