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