Automatic joint set clustering using a mixture of bivariate normal distributions

By D. Marcotte, E. Henry. 2002

50 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/8ffaf93b0a21439adf9d98e7ebd3ab96a5134917

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. F. Zhou
2. L. Xu
3. Q. Wang
4. J. Chen

In Environmental Engineering

1. F. Zhou
2. L. Xu
3. Q. Wang
4. J. Chen

In Management, Monitoring, Policy and Law

1. F. Zhou
2. L. Xu
3. Q. Wang
4. Vamegh Rasouli
5. J. Chen

Citations in the corpus

• Investigating the validity of conventional joint set clustering methods (2011, methodology): “Marcotte and Henry (2002) developed an automatic procedure to the identification of joint sets.”
• Fuzzy C-Means Cluster Analysis Based on Mutative Scale Chaos Optimization Algorithm for the Grouping of Discontinuity Sets (2012, methodology): “Four clusters of discontinuities of different numbers and different orientations were generated using bivariate normal distributions (Chen et al. 1995; Zanbak 1977; Marcotte and Henry 2002).”