gng: Growing Neural Gas

In rcannood/GNG: Growing Neural Gas

Description

Growing Neural Gas

Usage

gng(x, max_iter = 20000, epsilon_b = 0.05, epsilon_n = 0.001,
  age_max = 200, max_nodes = 30, lambda = 200, alpha = 0.5,
  beta = 0.99, assign_cluster = TRUE, verbose = TRUE, cpp = TRUE,
  make_logs_at = NULL)

Arguments

x	The input data. Must be a matrix!
max_iter	The max number of iterations.
epsilon_b	Move the winning node by epsilon_b times the distance.
epsilon_n	Move the neighbours of the winning node by epsilon_n times the distance.
age_max	Remove edges older than age_max.
max_nodes	The maximum number of nodes.
lambda	Insert new nodes every lambda iterations.
alpha	The decay parameter for error when a node is added.
beta	The decay parameter for error in every node every iteration.
assign_cluster	Whether or not to assign each sample to a GNG node.
verbose	Will output progress if TRUE.
cpp	Whether or not to use the C++ implementation over the R implementation. The C++ implementation is a lot faster.
make_logs_at	At which iterations to store the GNG, for visualisation purposes.

References

Fritzke, Bernd. "A growing neural gas network learns topologies." Advances in neural information processing systems 7 (1995): 625-632.

rcannood/GNG documentation built on May 27, 2019, 3:01 a.m.