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cluster number estimation

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Co-occurring keywords · papers mentioning both

hypothesis test (2) number of cluster (2) unimodality test (2) multi-view clustering (2) cluster count (1) k-means family (1) persistence measure (1) one-dimensional projection (1) dip statistic (1) hypothesis testing (1)

Papers

Reliable Clustering Number Estimation for Contrastive Multi-View Clustering CVPR 2026 A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections UAI 2025 On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset AAAI 2019 Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 PG-means: learning the number of clusters in data NeurIPS 2006