4 papers
A Geometry-Aware Framework for Clustering Cylindrical Data
Giuseppe Pandolfo, Luca Coraggio, Antonio D'Ambrosio
Cylindrical data pair an angle with a linear measurement. Clustering that ignores the periodicity of the angle breaks up groups lying across its origin. We formulate the K-means al…
Depth-based clustering analysis of directional data
Giuseppe Pandolfo, Antonio D'ambrosio
A new depth-based clustering procedure for directional data is proposed. Such method is fully non-parametric and has the advantages to be flexible and applicable even in high dimen…
Dynamic recursive tree-based partitioning for malignant melanoma identification in skin lesion dermoscopic images
Roberta Siciliano, Massimo Aria, Antonio D'Ambrosio +1
In this paper, multivalued data or multiple values variables are defined. They are typical when there is some intrinsic uncertainty in data production, as the result of imprecise m…
Parsimonious Time Series Clustering
Carmela Iorio, Gianluca Frasso, Antonio D'Ambrosio +1
We introduce a parsimonious model-based framework for clustering time course data. In these applications the computational burden becomes often an issue due to the number of availa…