flexclust v1.4-0
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Flexible Cluster Algorithms
The main function kcca implements a general framework for
k-centroids cluster analysis supporting arbitrary distance measures
and centroid computation. Further cluster methods include hard
competitive learning, neural gas, and QT clustering. There are
numerous visualization methods for cluster results (neighborhood
graphs, convex cluster hulls, barcharts of centroids, ...), and
bootstrap methods for the analysis of cluster stability.
Functions in flexclust
| Name | Description | |
| image-methods | Methods for Function image in Package `flexclust' | |
| info | Get Information on Fitted Flexclust Objects | |
| flxColors | Flexclust Color Palettes | |
| histogram-methods | Methods for Function histogram in Package `flexclust' | |
| birth | Birth and Death Rates | |
| priceFeature | Artificial 2d Market Segment Data | |
| clusterSim | Cluster Similarity Matrix | |
| projAxes | Add Arrows for Projected Axes to a Plot | |
| slswFlexclust | Segment Level Stability Within Solution. | |
| conversion | Conversion Between S3 Partition Objects and KCCA | |
| dentitio | Dentition of Mammals | |
| kcca | K-Centroids Cluster Analysis | |
| dist2 | Compute Pairwise Distances Between Two Data sets | |
| nutrient | Nutrients in Meat, Fish and Fowl | |
| milk | Milk of Mammals | |
| parameters | Get Centroids from KCCA Object | |
| distances | Distance and Centroid Computation | |
| pairs-methods | Methods for Function pairs in Package `flexclust' | |
| flexclustControl-class | Classes "flexclustControl" and "cclustControl" | |
| kcca2df | Convert Cluster Result to Data Frame | |
| plot-methods | Methods for Function plot in Package `flexclust' | |
| predict-methods | Predict Cluster Membership | |
| propBarchart | Barcharts and Boxplots for Columns of a Data Matrix Split by Groups | |
| shadowStars | Shadow Stars | |
| randIndex | Compare Partitions | |
| stepFlexclust | Run Flexclust Algorithms Repeatedly | |
| relabel | Relabel Cluster Results. | |
| shadow | Cluster Shadows and Silhouettes | |
| stripes | Stripes Plot | |
| slsaplot | Segment Level Stability Across Solutions Plot. | |
| qtclust | Stochastic QT Clustering | |
| volunteers | Motivation of Australian Volunteers | |
| vacmot | Vacation Motives of Australians | |
| randomTour | Plot a Random Tour | |
| bwplot-methods | Box-Whisker Plot Methods in Package `flexclust' | |
| achieve | Achievement Test Scores for New Haven Schools | |
| barplot-methods | Barplot/chart Methods in Package `flexclust' | |
| cclust | Convex Clustering | |
| bclust | Bagged Clustering | |
| auto | Automobile Customer Survey Data | |
| bootFlexclust | Bootstrap Flexclust Algorithms | |
| Nclus | Artificial Example with 4 Gaussians | |
| bundestag | German Parliament Election Data | |
| No Results! | ||
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Details
| Date | 2018-09-20 |
| License | GPL-2 |
| LazyLoad | yes |
| NeedsCompilation | yes |
| Packaged | 2018-09-20 11:08:49 UTC; leisch |
| Repository | CRAN |
| Date/Publication | 2018-09-24 22:50:03 UTC |
| imports | class , methods , parallel , stats , stats4 |
| suggests | clue , cluster , ellipse , seriation , skmeans |
| depends | graphics , grid , lattice , modeltools , R (>= 2.14.0) |
| Contributors | Bettina Gruen, Evgenia Dimitriadou |
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[](http://www.rdocumentation.org/packages/flexclust)