How to find an appropriate clustering for mixed‐type variables with application to socio‐economic stratification

By Christian Hennig, T. Liao. 2013

284 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9c91d022ea02b85bbb1a29f04ace679ddee39c6f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Andrew Gelman
2. Paul David McNicholas
3. Christian Hennig
4. J. Frieden
5. Harini Suresh
6. Chase Foster
7. John V. Guttag

In Sociology and Political Science

1. Andrew Gelman
2. Paul David McNicholas
3. Christian Hennig
4. Xiao-Li Meng
5. Justin T. Pickett
6. Andrew J. Thompson

Citations in the corpus

• Beyond subjective and objective in statistics (2015, methodology): “Hennig and Liao (2013) pointed out the issue and did some sensitivity analysis about the strength of the impact of the choice of c (V7a).”
• Model-Based Clustering (2016, background): “This is one reason why it has been said that merging Gaussian components is not a “get out of jail free” card (McNicholas and Browne 2013).”