unemployment: Unemployment data

In fclust: Fuzzy Clustering

Unemployment data

Description

Unemployment data about some European countries in 2011.

Usage

data(unemployment)

Format

A data.frame with 32 rows and 3 columns.

Details

The source is Eurostat news-release 104/2012 - 4 July 2012. The 32 observations are European countries: BELGIUM, BULGARIA, CZECHREPUBLIC, DENMARK, GERMANY, ESTONIA, IRELAND, GREECE, SPAIN, FRANCE, ITALY, CYPRUS, LATVIA, LITHUANIA, LUXEMBOURG, HUNGARY, MALTA, NETHERLANDS, AUSTRIA, POLAND, PORTUGAL, ROMANIA, SLOVENIA, SLOVAKIA, FINLAND, SWEDEN, UNITEDKINGDOM, ICELAND, NORWAY, SWITZERLAND, CROATIA, TURKEY. The 3 variables are: the total unemployment rate, defined as the percentage of unemployed persons aged 15-74 in the economically active population (Variable 1); the youth unemployment rate, defined as the unemployment rate for young people aged between 15 and 24 (Variable 2); the long-term unemployment share, defined as the Percentage of unemployed persons who have been unemployed for 12 months or more (Variable 3). Non-spherical clusters seem to be present in the data. The Gustafson and Kessel-like fuzzy k-means should be used for finding them.

Author(s)

Paolo Giordani, Maria Brigida Ferraro, Alessio Serafini

See Also

Fclust, FKM, FKM.gk

Examples

## unemployment data
data(unemployment)
## fuzzy k-means (only spherical clusters)
unempFKM=FKM(unemployment,k=3)
## Gustafson and Kessel-like fuzzy k-means (non-spherical clusters)
unempFKM.gk=FKM.gk(unemployment,k=3,RS=10)

fclust documentation built on Nov. 16, 2022, 5:10 p.m.