Learn R Programming

clue (version 0.3-65)

Kinship82_Consensus: Gordon-Vichi Kinship82 Consensus Partition Data

Description

The soft (“fuzzy”) consensus partitions for the Rosenberg-Kim kinship terms partition data given in Gordon and Vichi (2001).

Usage

data("Kinship82_Consensus")

Arguments

Format

A named cluster ensemble of three soft partitions of the 15 kinship terms into three classes.

Details

The elements of the ensemble are named "MF1", "MF2", and "JMF", and correspond to the consensus partitions obtained by applying models 1, 2, and 3 in Gordon and Vichi (2001) to the kinship terms partition data in Rosenberg (1982), which are available as data set Kinship82.

References

A. D. Gordon and M. Vichi (2001). Fuzzy partition models for fitting a set of partitions. Psychometrika, 66, 229--248. tools:::Rd_expr_doi("10.1007/BF02294837").

S. Rosenberg (1982). The method of sorting in multivariate research with applications selected from cognitive psychology and person perception. In N. Hirschberg and L. G. Humphreys (eds.), Multivariate Applications in the Social Sciences, 117--142. Hillsdale, NJ: Erlbaum.

Examples

Run this code
## Load the consensus partitions.
data("Kinship82_Consensus")
## Fuzziness using the Partition Coefficient.
cl_fuzziness(Kinship82_Consensus)
## (Corresponds to 1 - F in the source.)
## Dissimilarities:
cl_dissimilarity(Kinship82_Consensus)
cl_dissimilarity(Kinship82_Consensus, method = "comem")

Run the code above in your browser using DataLab