clust_fns {metasnf} | R Documentation |
Built-in clustering algorithms
Description
These functions can be used when building a metasnf
clustering functions
list. Each function converts a similarity matrix (matrix class object) to a
cluster solution (numeric vector). Note that these functions (or custom
clustering functions) cannot accept number of clusters as a parameter; this
value must be built into the function itself if necessary.
Usage
spectral_eigen(similarity_matrix)
spectral_rot(similarity_matrix)
spectral_eigen_classic(similarity_matrix)
spectral_rot_classic(similarity_matrix)
spectral_two(similarity_matrix)
spectral_three(similarity_matrix)
spectral_four(similarity_matrix)
spectral_five(similarity_matrix)
spectral_six(similarity_matrix)
spectral_seven(similarity_matrix)
spectral_eight(similarity_matrix)
spectral_nine(similarity_matrix)
spectral_ten(similarity_matrix)
Arguments
similarity_matrix |
A similarity matrix. |
Details
spectral_eigen: Spectral clustering where the number of clusters is based on the eigen-gap heuristic
spectral_rot: Spectral clustering where the number of clusters is based on the rotation-cost heuristic
spectral_(C): Spectral clustering for a C-cluster solution.
Value
solution_data A vector of cluster assignments
[Package metasnf version 2.1.2 Index]