clue v0.3-58
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Cluster Ensembles
CLUster Ensembles.
Functions in clue
| Name | Description | |
| Phonemes | Miller-Nicely Consonant Phoneme Confusion Data | |
| CKME | Cassini Data Partitions Obtained by K-Means | |
| Cassini | Cassini Data | |
| cl_agreement | Agreement Between Partitions or Hierarchies | |
| GVME_Consensus | Gordon-Vichi Macroeconomic Consensus Partition Data | |
| Kinship82_Consensus | Gordon-Vichi Kinship82 Consensus Partition Data | |
| Kinship82 | Rosenberg-Kim Kinship Terms Partition Data | |
| GVME | Gordon-Vichi Macroeconomic Partition Ensemble Data | |
| addtree | Additive Tree Distances | |
| cl_bag | Bagging for Clustering | |
| cl_membership | Memberships of Partitions | |
| cl_ensemble | Cluster Ensembles | |
| cl_dissimilarity | Dissimilarity Between Partitions or Hierarchies | |
| cl_consensus | Consensus Partitions and Hierarchies | |
| cl_pam | K-Medoids Partitions of Clusterings | |
| cl_object_names | Find Object Names | |
| hierarchy | Hierarchies | |
| kmedoids | K-Medoids Clustering | |
| cl_fuzziness | Partition Fuzziness | |
| cl_pclust | Prototype-Based Partitions of Clusterings | |
| cl_boot | Bootstrap Resampling of Clustering Algorithms | |
| ls_fit_ultrametric | Least Squares Fit of Ultrametrics to Dissimilarities | |
| cl_classes | Cluster Classes | |
| n_of_classes | Classes in a Partition | |
| cl_predict | Predict Memberships | |
| partition | Partitions | |
| n_of_objects | Number of Objects in a Partition or Hierarchy | |
| cl_prototypes | Partition Prototypes | |
| cl_medoid | Medoid Partitions and Hierarchies | |
| l1_fit_ultrametric | Least Absolute Deviation Fit of Ultrametrics to Dissimilarities | |
| cl_margin | Membership Margins | |
| fit_ultrametric_target | Fit Dissimilarities to a Hierarchy | |
| pclust | Prototype-Based Partitioning | |
| cl_validity | Validity Measures for Partitions and Hierarchies | |
| lattice | Cluster Lattices | |
| cl_tabulate | Tabulate Vector Objects | |
| cl_ultrametric | Ultrametrics of Hierarchies | |
| ls_fit_addtree | Least Squares Fit of Additive Tree Distances to Dissimilarities | |
| ls_fit_sum_of_ultrametrics | Least Squares Fit of Sums of Ultrametrics to Dissimilarities | |
| solve_LSAP | Solve Linear Sum Assignment Problem | |
| sumt | Sequential Unconstrained Minimization Technique | |
| No Results! | ||
Vignettes of clue
| Name | ||
| clue.Rnw | ||
| cluster.bib | ||
| No Results! | ||
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Details
| Encoding | UTF-8 |
| License | GPL-2 |
| NeedsCompilation | yes |
| Packaged | 2020-12-02 13:44:38 UTC; hornik |
| Repository | CRAN |
| Date/Publication | 2020-12-03 18:47:03 UTC |
| enhances | ape , cba , cclust , flexclust , flexmix , kernlab , mclust , modeltools , movMF , RWeka |
| imports | cluster , graphics , methods , stats |
| suggests | e1071 , lpSolve (>= 5.5.7) , quadprog (>= 1.4-8) , relations |
| depends | R (>= 3.2.0) |
| Contributors | Walter B<c3><b6>hm |
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