Hierarchical Clustering of a Mixture Model

By Jacob Goldberger, Sam T. Roweis. 2004

183 citations recorded by the source corpus.

How researchers see this paper

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

1. Rahaf Aljundi
2. Jin-Hwa Kim
3. Jung-Woo Ha
4. Jaehyun Jun
5. Sang-Woo Lee
6. Byoung-Tak Zhang
7. James T. Kwok
8. Ranjan Maitra

Citations in the corpus

• Overcoming Catastrophic Forgetting by Incremental Moment Matching (2017, background): “The objective function of mean-IMM is to minimize the following local KL-distance or the weighted sum of KL-divergence between each qk and q1:K [11, 18]:”
• Simplifying Mixture Models Through Function Approximation (2006, methodology): “After obtaining and , they are substituted into (17) to compute .”
• Finite mixture models and model-based clustering (2010, methodology): “[50] considered using hierarchical clustering specifically in the context of mixture modeling.”