Initialization of membership degrees over class range of a selected feature
Initializes the membership degrees matrix by using the class range of the coefficient of variation of a selected feature in the data set being processed.
figen(x, k, mtype, sfidx)
x |
an data.frame or matrix for the data set. |
k |
an integer for the number of clusters. |
mtype |
a character representing the type of membership degrees to be generated. The default type is f for generating fuzzy membership matrix. Use h for creating an hard (crisp) membership matrix. |
sfidx |
an integer for the column index of a selected feature. The default is the column index of a feature whose coefficient of variation is the maximum among all features in the data set. |
The function figen generates a numeric matrix containing the fuzzy initial membership degrees.
an object of class ‘inaparc’, which is a list consists of the following items:
u |
a numeric matrix containing the initial membership degrees. |
sfidx |
an integer for the column index of the selected feature, which used for random sampling. |
call |
a string containing the matched function call that generates this ‘inaparc’ object. |
Zeynel Cebeci, Cagatay Cebeci
Cebeci, Z. (2018), "Initialization of Membership Degree Matrix for Fast Convergence of Fuzzy C-Means Clustering", In Proc. of 2018 International Conference on Artificial Intelligence and Data Processing (IDAP), IEEE, Sep. 2018, pp. 1-5., doi: 10.1109/IDAP.2018.8620920
data(iris) # Generate a fuzzy membership matrix using the 1st feature u <- figen(iris[,1:4], k=5, sfidx=1)$u head(u) tail(u) # Generate a fuzzy membership matrix using the internally determined feature res <- figen(iris[,1:4], k=5) u <- res$u head(u) tail(u)
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