as.cl_addtree | Additive Tree Distances |
as.cl_class_ids | Classes in a Partition |
as.cl_dendrogram | Hierarchies |
as.cl_ensemble | Cluster Ensembles |
as.cl_hard_partition | Partitions |
as.cl_hierarchy | Hierarchies |
as.cl_membership | Memberships of Partitions |
as.cl_partition | Partitions |
as.cl_ultrametric | Ultrametrics of Hierarchies |
Cassini | Cassini Data |
CKME | Cassini Data Partitions Obtained by K-Means |
cl_agreement | Agreement Between Partitions or Hierarchies |
cl_bag | Bagging for Clustering |
cl_boot | Bootstrap Resampling of Clustering Algorithms |
cl_classes | Cluster Classes |
cl_class_ids | Classes in a Partition |
cl_consensus | Consensus Partitions and Hierarchies |
cl_dendrogram | Hierarchies |
cl_dissimilarity | Dissimilarity Between Partitions or Hierarchies |
cl_ensemble | Cluster Ensembles |
cl_fuzziness | Partition Fuzziness |
cl_hard_partition | Partitions |
cl_hierarchy | Hierarchies |
cl_join | Cluster Lattices |
cl_margin | Membership Margins |
cl_medoid | Medoid Partitions and Hierarchies |
cl_meet | Cluster Lattices |
cl_membership | Memberships of Partitions |
cl_object_names | Find Object Names |
cl_pam | K-Medoids Partitions of Clusterings |
cl_partition | Partitions |
cl_pclust | Prototype-Based Partitions of Clusterings |
cl_predict | Predict Memberships |
cl_prototypes | Partition Prototypes |
cl_tabulate | Tabulate Vector Objects |
cl_ultrametric | Ultrametrics of Hierarchies |
cl_validity | Validity Measures for Partitions and Hierarchies |
cl_validity.default | Validity Measures for Partitions and Hierarchies |
GVME | Gordon-Vichi Macroeconomic Partition Ensemble Data |
GVME_Consensus | Gordon-Vichi Macroeconomic Consensus Partition Data |
is.cl_dendrogram | Hierarchies |
is.cl_ensemble | Cluster Ensembles |
is.cl_hard_partition | Partitions |
is.cl_hierarchy | Hierarchies |
is.cl_partition | Partitions |
is.cl_soft_partition | Partitions |
Kinship82 | Rosenberg-Kim Kinship Terms Partition Data |
Kinship82_Consensus | Gordon-Vichi Kinship82 Consensus Partition Data |
kmedoids | K-Medoids Clustering |
l1_fit_ultrametric | Least Absolute Deviation Fit of Ultrametrics to Dissimilarities |
l1_fit_ultrametric_target | Fit Dissimilarities to a Hierarchy |
ls_fit_addtree | Least Squares Fit of Additive Tree Distances to Dissimilarities |
ls_fit_centroid | Least Squares Fit of Additive Tree Distances to Dissimilarities |
ls_fit_sum_of_ultrametrics | Least Squares Fit of Sums of Ultrametrics to Dissimilarities |
ls_fit_ultrametric | Least Squares Fit of Ultrametrics to Dissimilarities |
ls_fit_ultrametric_target | Fit Dissimilarities to a Hierarchy |
n_of_classes | Classes in a Partition |
n_of_objects | Number of Objects in a Partition or Hierarchy |
Ops.cl_dendrogram | Cluster Lattices |
Ops.cl_hierarchy | Cluster Lattices |
Ops.cl_partition | Cluster Lattices |
pclust | Prototype-Based Partitioning |
pclust_family | Prototype-Based Partitioning |
pclust_object | Prototype-Based Partitioning |
Phonemes | Miller-Nicely Consonant Phoneme Confusion Data |
plot.cl_dendrogram | Hierarchies |
solve_LSAP | Solve Linear Sum Assignment Problem |
Summary.cl_hierarchy | Cluster Lattices |
Summary.cl_partition | Cluster Lattices |
sumt | Sequential Unconstrained Minimization Technique |