Документация Engee

Learning fuzzy models

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# FuzzyLogic.fuzzy_cmeans — Function

fuzzy_cmeans(
    X::Array{T<:Real, 2},
    N::Int64;
    m,
    maxiter,
    tol
) -> Tuple{Any, Any}

Performs fuzzy clustering on th data X using N clusters.

Input

  • X —  matrix of data, each column is a data point

  • N — number of clusters used.

Keyword argumes

  • m — exponent of the fuzzy membership function, default 2.0

  • maxiter — maximum number of iterations, default 100

  • tol — absolute error for stopping condition. Stop if ₖₖ₊₁ , where ₖ is the cost function value at the :th iteration.

Output

  • C —  matrix of centers, each column is the center of a cluster.

  • U —  matrix of membership degrees, `Uᵢⱼtells has the membership degree of thejth point to thei``th cluster.