A local depth measure for general data
@article{FernandezPiana2018ALD, title={A local depth measure for general data}, author={Lucas Fernandez-Piana and Marcela Svarc}, journal={arXiv: Methodology}, year={2018} }
We herein introduce a general local depth measure for data in a Banach space, based on the use of one-dimensional projections. Theoretical properties of the local depth measure are studied, as well as, strong consistency results of the local depth measure and also of the local depth regions. In addition, we propose a clustering procedure based on local depths. Applications of the clustering procedure are illustrated on some artificial and real data sets for multivariate, functional and…
Figures and Tables from this paper
References
SHOWING 1-10 OF 28 REFERENCES
On depth measures and dual statistics. A methodology for dealing with general data
- MathematicsJ. Multivar. Anal.
- 2009
Local half-region depth for functional data
- Computer ScienceJ. Multivar. Anal.
- 2018
General notions of statistical depth function
- Mathematics
- 2000
Statistical depth functions are being formulated ad hoc with increasing popularity in nonparametric inference for multivariate data. Here we introduce several general structures for depth functions,…
From Depth to Local Depth: A Focus on Centrality
- Computer Science
- 2013
A local extension of depth is introduced at analyzing multimodal or nonconvexly supported distributions through data depth and has the advantages of maintaining affine-invariance and applying to all depths in a generic way.
On a transformation and re-transformation technique for constructing an affine equivariant multivariate median
- Mathematics
- 1996
An affine equivariant version of multivariate median is introduced. The proposed median is easy to compute and has some appealing geometric features that are related to the configuration of a…
OPERATING TRANSFORMATION RETRANSFORMATION ON SPATIAL MEDIAN AND ANGLE TEST
- Mathematics
- 1998
An affine equivariant modification of the spatial median constructed us- ing an adaptive transformation and retransformation procedure has been studied. It has been shown that this new estimate of…
A divisive clustering method for functional data with special consideration of outliers
- Computer ScienceAdv. Data Anal. Classif.
- 2018
A simulation study using synthetic data and tests of the performance of the DivClusFD method on real data sets indicate that this method is able to classify functions accurately.
Model-based clustering of time series in group-specific functional subspaces
- Computer ScienceAdv. Data Anal. Classif.
- 2011
This work develops a general procedure for clustering functional data which adapts the clustering method high dimensional data clustering (HDDC), originally proposed in the multivariate context, based on a functional latent mixture model which fits the functional data in group-specific functional subspaces.