heart: Statlog (Heart) Data Set

In VarSelLCM: Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values

Description

This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form.

Details

12 variables are used to cluster the observations

• age (integer)

• sex (binary)

• chest pain type (categorical with 4 levels)

• resting blood pressure (continuous)

• serum cholestoral in mg/dl (continuous)

• fasting blood sugar > 120 mg/dl (binary)

• resting electrocardiographic results (categorical with 3 levels)

• maximum heart rate achieved (continuous)

• exercise induced angina (binary)

• the slope of the peak exercise ST segment (categorical with 3 levels)

• number of major vessels colored by flourosopy (categorical with 4 levels)

• thal: 3 = normal; 6 = fixed defect; 7 = reversable defect (categorical with 3 levels)

1 variable define a ”true” partition: Absence (1) or presence (2) of heart disease

References

UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science: http://archive.ics.uci.edu/ml/datasets/statlog+(heart)

Examples

  data(heart)

Example output

VarSelLCM documentation built on May 2, 2019, 4:59 p.m.