Cluster-wise assessment of cluster stability

By Christian Hennig. Computational Statistics & Data Analysis, 2007

775 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/15626a85e1700ac008064c7f29d29955839e8cef

How researchers see this paper

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

In Artificial Intelligence

1. A. Stewart Fotheringham
2. Carson J. Q. Farmer
3. T. Liao
4. Christian Hennig

In Statistics and Probability

1. T. Liao
2. A. Stewart Fotheringham
3. Carson J. Q. Farmer
4. Christian Hennig
5. Sameer Hinduja
6. J. Ingram

Citations in the corpus

• How to find an appropriate clustering for mixed‐type variables with application to socio‐economic stratification (2013, methodology): “pler set-up by Keribin (2000). However, using this as a justification for the use of the BIC to estimate the number of clusters is ill posed.”
• Network-Based Functional Regions (2011, methodology): “An effective method for assessing the stability of functional regions is via resampling methods (Hennig, 2007).”