cal_memb: calculate membership values based on x, v, and m
In bishun945/FCMm: Fuzzy Cluster Method Based on the Optimized m Value (Fuzzifier)
Description
Usage
Arguments
Value
See Also
Description
calculate membership values based on x, v, and m
Usage
1
cal_memb(x, v, m = 2)
Arguments
x
Input matrix
v
Input centroids
m
Fuzzifier parameter. Default is 2.
Value
A list including x, v, m, u (membership), d (distance)
See Also
Other Fuzzy cluster functions:
FCM.new(),
FuzzifierDetermination(),
apply_FCM_m(),
apply_to_image(),
generate_param(),
plot_spec_from_df()
bishun945/FCMm documentation built on Oct. 15, 2021, 6:43 p.m.
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Description Usage Arguments Value See Also
Description
calculate membership values based on x, v, and m
Usage
1 | cal_memb(x, v, m = 2)
|
Arguments
x |
Input matrix |
v |
Input centroids |
m |
Fuzzifier parameter. Default is 2. |
Value
A list including x, v, m, u (membership), d (distance)
See Also
Other Fuzzy cluster functions:
FCM.new(),
FuzzifierDetermination(),
apply_FCM_m(),
apply_to_image(),
generate_param(),
plot_spec_from_df()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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