generate_centers_uniform: Generate gaussian centers with fixed minimum separation c
In pengminshi/cFIT: cFIT (common Factor Space Integration & Transfer)
Description
Usage
Arguments
Value
View source: R/simulation_by_model.R
Description
Generate K centers in d dimenaional space such that min ||mu_i-mu_j|| = c(d * sig)^1/2]
Usage
1
generate_centers_uniform(K, d, cl.sep)
Arguments
K
number of clusters
d
dimension of space where K centers are generated
cl.sep
cluster separation
Value
A list containing
- centers
generated K-by-d corresponding to K centers in d-dim space
- status
boolean indicating whether the generationg is successful
pengminshi/cFIT documentation built on July 11, 2021, 11:12 p.m.
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Description Usage Arguments Value
View source: R/simulation_by_model.R
Description
Generate K centers in d dimenaional space such that min ||mu_i-mu_j|| = c(d * sig)^1/2]
Usage
1 | generate_centers_uniform(K, d, cl.sep)
|
Arguments
K |
number of clusters |
d |
dimension of space where K centers are generated |
cl.sep |
cluster separation |
Value
A list containing
- centers
generated K-by-d corresponding to K centers in d-dim space
- status
boolean indicating whether the generationg is successful
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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