72 citations · 72 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
Boosted-Oriented Probabilistic Smoothing-Spline Clustering of Series
Carmela Iorio, Gianluca Frasso, Antonio D'Ambrosio +1
Fuzzy clustering methods allow the objects to belong to several clusters simultaneously, with different degrees of membership. However, a factor that influences the performance of…
Accurate algorithms for identifying the median ranking when dealing with weak and partial rankings under the Kemeny axiomatic approach
Sonia Amodio, Antonio D'Ambrosio, Roberta Siciliano
Preference rankings virtually appear in all field of science (political sciences, behavioral sciences, machine learning, decision making and so on). The well-know social choice pro…