Hausdorff clustering
Statistical Finance
2010-01-30 v1 Statistical Mechanics
Data Analysis, Statistics and Probability
Physics and Society
Abstract
A clustering algorithm based on the Hausdorff distance is introduced and compared to the single and complete linkage. The three clustering procedures are applied to a toy example and to the time series of financial data. The dendrograms are scrutinized and their features confronted. The Hausdorff linkage relies of firm mathematical grounds and turns out to be very effective when one has to discriminate among complex structures.
Cite
@article{arxiv.0801.0748,
title = {Hausdorff clustering},
author = {N. Basalto and R. Bellotti and F. De Carlo and P. Facchi and E. Pantaleo and S. Pascazio},
journal= {arXiv preprint arXiv:0801.0748},
year = {2010}
}
Comments
12 pages, 13 figures