
Data of married women in Indonesia who were not pregnant (or did not know they were pregnant) at the time of the survey. The dataset contains demographic and socio-economic characteristics of the women along with their preferred method of contraception (no use, long-term methods, short-term methods).


datasets

A class of methods that combine dimension reduction and clustering of continuous or categorical data. For continuous data, the package contains implementations of factorial K-means (Vichi and Kiers 2001; <DOI:10.1016/S0167-9473(00)00064-5>) and reduced K-means (De Soete and Carroll 1994; <DOI:10.1007/978-3-642-51175-2_24>); both methods that combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means (Hwang, Dillon and Takane 2006; <DOI:10.1007/s11336-004-1173-x>), i-FCB (Iodice D'Enza and Palumbo 2013, <DOI:10.1007/s00180-012-0329-x>) and Cluster Correspondence Analysis (van de Velden, Iodice D'Enza and Palumbo 2016; <DOI:10.1007/s11336-016-9514-0>), which combine multiple correspondence analysis with K-means.

Angelos Markos

clustrd

Methods for Joint Dimension Reduction and Clustering

cmc function

A data frame containing 1,437 observations on the following 10 variables.
  <dl> </dl> 

Format

This dataset is part of the 1987 National Indonesia Contraceptive Prevalence Survey and was created by Tjen-Sien Lim. It has been taken from the UCI Machine Learning Repository at <a href="http://archive.ics.uci.edu/ml/">http://archive.ics.uci.edu/ml/</a>.

Source

This dataset is part of the 1987 National Indonesia Contraceptive Prevalence Survey and was created by Tjen-Sien Lim. It has been taken from the UCI Machine Learning Repository at <a href = 'http://archive.ics.uci.edu/ml/'>http://archive.ics.uci.edu/ml/</a>.

cmc: Contraceptive Choice in Indonesia

Description

Usage

Arguments

Format

Source

References

Examples