2 papers
stat.CO2021
Large-data determinantal clustering
Serge Vicente, Alejandro Murua
Determinantal consensus clustering is a promising and attractive alternative to partitioning about medoids and k-means for ensemble clustering. Based on a determinantal point proce…
stat.ML2021
Determinantal consensus clustering
Serge Vicente, Alejandro Murua
Random restart of a given algorithm produces many partitions to yield a consensus clustering. Ensemble methods such as consensus clustering have been recognized as more robust appr…