Scaffoldings and Spines: Organizing High-Dimensional Data Using Cover Trees, Local Principal Component Analysis, and Persistent Homology

Author:

Bendich Paul,Gasparovic Ellen,Harer John,Tralie Christopher J.

Publisher

Springer International Publishing

Reference24 articles.

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2. D. Bassu, R. Izmailov, A. McIntosh, L. Ness, D. Shallcross, Centralized multi-scale singular value decomposition for feature construction in LIDAR image classification problems, in Applied Imagery Pattern Recognition Workshop (AIPR), 2012 IEEE (2012), pp. 1–6

3. P. Bendich, B. Wang, S. Mukherjee, Local homology transfer and stratification learning, in Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms (SIAM, Philadelphia, 2012), pp. 1355–1370

4. P. Bendich, E. Gasparovic, J. Harer, R. Izmailov, L. Ness, Multi-scale local shape analysis and feature selection for machine learning applications, in Proceedings of International Joint Conference on Neural Networks (2015)

5. A. Beygelzimer, S. Kakade, J. Langford, Cover trees for nearest neighbor, in Proceedings of the 23rd International Conference on Machine Learning (ACM, New York, 2006), pp. 97–104

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