ClusteringLayer: Clustering layer for Deep Embedded Clustering
In ANTsX/ANTsRNet: Neural Networks for Medical Image Processing
ClusteringLayer R Documentation
Clustering layer for Deep Embedded Clustering
Description
Clustering layer for Deep Embedded Clustering
Value
clustering layer
Arguments
- numberOfClusters
number of clusters.
- initialClusterWeights
- alpha
parameter
- alpha
name
Details
$initialize instantiates a new class.
$call main body.
$compute_output_shape computes the output shape.
Author(s)
Tustison NJ
Examples
model = ClusteringLayer$new(numberOfClusters = 2)
## Not run:
model$build(c(20, 20))
## End(Not run)
ANTsX/ANTsRNet documentation built on Nov. 21, 2024, 4:07 a.m.
R Package Documentation
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| ClusteringLayer | R Documentation |
Clustering layer for Deep Embedded Clustering
Description
Clustering layer for Deep Embedded Clustering
Value
clustering layer
Arguments
- numberOfClusters
number of clusters.
- initialClusterWeights
- alpha
parameter
- alpha
name
Details
$initialize instantiates a new class.
$call main body.
$compute_output_shape computes the output shape.
Author(s)
Tustison NJ
Examples
model = ClusteringLayer$new(numberOfClusters = 2)
## Not run:
model$build(c(20, 20))
## End(Not run)
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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