PostKNNByOutlier: PostKNNByOutlier
In Ivis4ml/PRScc: Proximal Gradient Smoothing Sparse Convex Clustering
Description
Usage
Arguments
Value
View source: R/PRSCC-methods.R
Description
PostKNNByOutlier
Usage
1
PostKNNByOutlier(Z, D, q = 0.5)
Arguments
Z
List of KNN
D
List of distance
q
epsilon for outlier cutoff. Default = 0.5
Value
list
Z index of non-zero entries in W
W weight matrix with filtering
Ivis4ml/PRScc documentation built on June 4, 2020, 9:19 a.m.
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Description Usage Arguments Value
View source: R/PRSCC-methods.R
Description
PostKNNByOutlier
Usage
1 | PostKNNByOutlier(Z, D, q = 0.5)
|
Arguments
Z |
List of KNN |
D |
List of distance |
q |
epsilon for outlier cutoff. Default = 0.5 |
Value
list Z index of non-zero entries in W W weight matrix with filtering
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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