Cluster Ensembles
Additive Tree Distances
Agreement Between Partitions or Hierarchies
Bagging for Clustering
Bootstrap Resampling of Clustering Algorithms
Cluster Classes
Consensus Partitions and Hierarchies
Dissimilarity Between Partitions or Hierarchies
Cluster Ensembles
Partition Fuzziness
Membership Margins
Medoid Partitions and Hierarchies
Memberships of Partitions
Find Object Names
K-Medoids Partitions of Clusterings
Prototype-Based Partitions of Clusterings
Predict Memberships
Partition Prototypes
Tabulate Vector Objects
Ultrametrics of Hierarchies
Validity Measures for Partitions and Hierarchies
Fit Dissimilarities to a Hierarchy
Hierarchies
K-Medoids Clustering
Least Absolute Deviation Fit of Ultrametrics to Dissimilarities
Cluster Lattices
Least Squares Fit of Additive Tree Distances to Dissimilarities
Least Squares Fit of Sums of Ultrametrics to Dissimilarities
Least Squares Fit of Ultrametrics to Dissimilarities
Classes in a Partition
Number of Objects in a Partition or Hierarchy
Partitions
Prototype-Based Partitioning
Solve Linear Sum Assignment Problem
Sequential Unconstrained Minimization Technique
CLUster Ensembles.