Setup CMeansConfig
Usage
setup_CMeans(
k = 2L,
max_iter = 100L,
dist = "euclidean",
method = "cmeans",
m = 2,
rate_par = NULL,
weights = 1,
control = list()
)Arguments
- k
Integer [1, Inf): Number of clusters.
- max_iter
Integer [1, Inf): Maximum number of iterations.
- dist
Character {"euclidean", "manhattan"}: Distance measure to use.
- method
Character {"cmeans", "ufcl"}: "cmeans" - fuzzy c-means clustering; "ufcl": on-line update.
- m
Numeric (1, Inf): Degree of fuzzification.
- rate_par
Optional Numeric [0, 1]: Learning rate for the online variant.
- weights
Numeric vector: Case weights. Either a scalar, applied to every case, or a vector with one value per case.
- control
List: Control config for clustering algorithm.