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 |