Clustering-class: The Clustering Class
In Core-Bioinformatics/ClustAssess: Tools for Assessing Clustering
Clustering-class R Documentation
The Clustering Class
Description
A class containing relevant data for comparing clusterings,
including the affinity matrix for the Clustering.
Slots
namesA character vector of element names; will be 1:n_elements if no
names were available when creating the Clustering object.
n_elementsA numeric giving the number of elements.
is_hierarchicalA logical indicating whether the clustering is
hierarchical or flat.
is_disjointA logical indicating whether the clustering is disjoint or
overlapping.
alphaA numeric giving the personalized PageRank damping factor;
1 - alpha is the restart probability for the PPR random walk.
rA numeric hierarchical scaling parameter.
elm2clu_dictA list giving the clusters each element is a member of.
clu2elm_dictA list giving the element members of each cluster.
affinity_matrixA Matrix containing the personalized pagerank
equilibrium distribution.
Core-Bioinformatics/ClustAssess documentation built on Nov. 14, 2024, 6:33 p.m.
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| Clustering-class | R Documentation |
The Clustering Class
Description
A class containing relevant data for comparing clusterings, including the affinity matrix for the Clustering.
Slots
namesA character vector of element names; will be 1:n_elements if no names were available when creating the Clustering object.
n_elementsA numeric giving the number of elements.
is_hierarchicalA logical indicating whether the clustering is hierarchical or flat.
is_disjointA logical indicating whether the clustering is disjoint or overlapping.
alphaA numeric giving the personalized PageRank damping factor; 1 - alpha is the restart probability for the PPR random walk.
rA numeric hierarchical scaling parameter.
elm2clu_dictA list giving the clusters each element is a member of.
clu2elm_dictA list giving the element members of each cluster.
affinity_matrixA Matrix containing the personalized pagerank equilibrium distribution.
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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