Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data



The Annals of Applied Statistics

Discussion of: Treelets—An adaptive multi-scale basis for sparse unordered data

Fionn Murtagh

Source: Ann. Appl. Stat. Volume 2, Number 2 (2008), 472-473.

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aoas/1215118519
Digital Object Identifier: doi:10.1214/08-AOAS137A

References

Ahn, J., Marron, J. S., Muller, K. M. and Chi, Y.-Y. (2007). The high-dimension, low-sample-size geometric representation holds under mild conditions. Biometrika 94 760–766.
Breuel, T. M. (2007). A note on approximate nearest neighbor methods. Available at http://arxiv.org/pdf/cs/0703101.
Donoho, D. L. and Tanner, J. (2005). Neighborliness of randomly-projected simplices in high dimensions. Proc. Natl. Acad. Sci. USA 102 9452–9457.
Hall, P., Marron, J. S. and Neeman, A. (2005). Geometric representation of high dimension low sample size data. J. Roy. Statist. Soc. B 67 427–444.
Murtagh, F. (2004). On ultrametricity, data coding, and computation. J. Classification 21 167–184.
Murtagh, F. (2005). Correspondence Analysis and Data Coding with R and Java. Chapman and Hall/CRC, Boca Raton, FL. With a foreword by J.-P. Benzécri.
Murtagh, F. (2007a). The Haar wavelet transform of a dendrogram. J. Classification 24 3–32.
Murtagh, F. (2007b). The remarkable simplicity of very high dimensional data: Application of model-based clustering. Available at www.cs.rhul.ac.uk/home/fionn/papers.

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