KFC: A clusterwise supervised learning procedure based on the aggregation of distances

DOI10.1080/00949655.2021.1891539OpenAlexW3156111502MaRDI QIDQ3389603

Aurélie Fischer, Sothea Has, Mathilde Mougeot

Publication date: 23 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1891539

zbMATH Keywords

classificationaggregationclusteringkernelregressionBregman divergences

Mathematics Subject Classification ID

Linear inference, regression (62J99) Applications of statistics in engineering and industry; control charts (62P30) Statistics (62-XX) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

Uses Software

• COBRA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• COBRA: a combined regression strategy
• An asymptotically optimal kernel combined classifier
• A simple method for combining estimates to improve the overall error rates in classification
• Aggregating regression procedures to improve performance
• A kernel-based combined classification rule
• Combining different procedures for adaptive regression
• Statistical learning theory and stochastic optimization. Ecole d'Eté de Probabilitiés de Saint-Flour XXXI -- 2001.
• Stacked regressions
• Aggregation using input-output trade-off
• On the Optimality of Conditional Expectation as a Bregman Predictor
• Combining Estiamates in Regression and Classification
• A COMPARISON STUDY OF SOME COMBINED CLASSIFIERS
• Combining Classifiers via Discretization
• Least squares quantization in PCM
• 10.1162/153244303321897735
• Projection-based curve clustering

This page was built for publication: KFC: A clusterwise supervised learning procedure based on the aggregation of distances