On this week's Journal Club session, Paul Moggridge will talk about his conference paper entitled "On Instance Weighted Clustering Ensembles".

Ensemble clustering is a technique which combines multiple clustering results, and instance weighting is a technique which highlights important instances in a dataset. Both techniques are known to enhance clustering performance and robustness. In this research, ensembles and instance weighting are integrated with the spectral clustering algorithm. We believe this is the first attempt at creating diversity in the generative mechanism using density-based instance weighting for a spectral ensemble. The proposed approach is empirically validated using synthetic datasets comparing against spectral and a spectral ensemble with random instance weighting. Results show that using the instance weighted sub-sampling approach as the generative mechanism for an ensemble of spectral clustering leads to improved clustering performance on datasets with imbalanced clusters.

Papers:

• P. Moggridge, N. Helian, Y. Sun, M. Lilley, "On Instance Weighted Clustering Ensembles", 2023, ESANN 2023 - proceedings

Date: 2023/11/17
Time: 14:00
Location: LJ115 & online