GVME_Consensus {clue} | R Documentation

## Gordon-Vichi Macroeconomic Consensus Partition Data

### Description

The soft (“fuzzy”) consensus partitions for the macroeconomic partition data given in Gordon and Vichi (2001).

### Usage

    data("GVME_Consensus")

### Format

A named cluster ensemble of eight soft partitions of 21 countries terms into two or three classes.

### Details

The elements of the ensemble are consensus partitions for the macroeconomic partition data in Gordon and Vichi (2001), which are available as data set `GVME`. Element names are of the form `"m/k"`, where m indicates the consensus method employed (one of MF1, MF2, JMF, and S&S, corresponding to the application of models 1, 2, and 3 in Gordon and Vichi (2001) and the approach in Sato and Sato (1994), respectively), and k denotes the number classes (2 or 3).

### Source

Tables 4 and 5 in Gordon and Vichi (2001).

### References

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

M. Sato and Y. Sato (1994). On a multicriteria fuzzy clustering method for 3-way data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2, 127–142.
doi: 10.1142/S0218488594000122.

### Examples

    ## Load the consensus partitions.
    data("GVME_Consensus")
    ## Pick the partitions into 2 classes.
    GVME_Consensus_2 <- GVME_Consensus[1 : 4]
    ## Fuzziness using the Partition Coefficient.
    cl_fuzziness(GVME_Consensus_2)
    ## (Corresponds to 1 - F in the source.)
    ## Dissimilarities:
    cl_dissimilarity(GVME_Consensus_2)
    cl_dissimilarity(GVME_Consensus_2, method = "comem")

[Package clue version 0.3-57 Index]