Statistical Significance of Clustering with Multidimensional Scaling

DOI10.1080/10618600.2023.2219708MaRDI QIDQ6552544

Hui Shen, Yufeng Liu, Shankar Bhamidi

Publication date: 10 June 2024

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• A central limit theorem for k-means clustering
• Optimality of spectral clustering in the Gaussian mixture model
• Entrywise eigenvector analysis of random matrices with low expected rank
• Modern multidimensional scaling. Theory and applications.
• Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Finite mixture models
• Bootstrapping for Significance of Compact Clusters in Multidimensional Datasets
• An analysis of classical multidimensional scaling with applications to clustering
• Statistical Significance for Hierarchical Clustering

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