Visualizing non-metric similarities in multiple maps

DOI10.1007/s10994-011-5273-4zbMath1238.68140OpenAlexW2149489931MaRDI QIDQ153597

Laurens Van Der Maaten, Geoffrey Hinton, Laurens van der Maaten, Geoffrey E. Hinton

Publication date: 17 December 2011

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-011-5273-4

zbMATH Keywords

embeddingmultidimensional scalingdata visualizationnon-metric similarities

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Indefinite Proximity Learning: A Review, mmtsne, h‐plots for displaying nonmetric dissimilarity matrices, t-SNE, Conditional t-SNE: more informative t-SNE embeddings

Uses Software

• apcluster
• APCluster

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Clustering by Passing Messages Between Data Points
• Similarity, kernels, and the triangle inequality
• Some properties of invariant sets of a flow
• Modern multidimensional scaling. Theory and applications.
• Multidimensional scaling. I: Theory and method
• The Dissimilarity Representation for Pattern Recognition
• A Survey of Statistical Network Models
• 10.1162/jmlr.2003.3.4-5.993
• Machine Learning: ECML 2004