The inputs of the spirals problem are points on two entangled spirals. If
sd>0
, then Gaussian noise is added to each data
point. mlbench.1spiral
creates a single spiral.
mlbench.spirals(n, cycles=1, sd=0)
mlbench.1spiral(n, cycles=1, sd=0)
Returns an object of class "mlbench.spirals"
with components
input values
factor vector of length n
with target classes
number of patterns to create
the number of cycles each spiral makes
standard deviation of data points around the spirals
# 1 cycle each, no noise
p<-mlbench.spirals(300)
plot(p)
#
# 1.5 cycles each, with noise
p<-mlbench.spirals(300,1.5,0.05)
plot(p)
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