Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis

Evolutionary Active Constrained Clustering for Obstructive Sleep Apnea Analysis

Abstract We introduce a novel interactive framework to handle both instance-level and temporal smoothness constraints for clustering large longitudinal data and for tracking the cluster evolutions over time. It consists of a constrained clustering algorithm, called CVQE+, which optimizes the cluster...

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Bibliographic Details
Main Authors: Son T. Mai, Sihem Amer-Yahia, Sébastien Bailly, Jean-Louis Pépin, Ahlame Douzal Chouakria, Ky T. Nguyen, Anh-Duong Nguyen
Format: Article
Language:English
Published: SpringerOpen 2018-11-01
Series:Data Science and Engineering
Subjects:
Semi-supervised clustering
Active learning
Interactive clustering
Incremental clustering
Temporal clustering
Obstructive Sleep Apnea
Online Access:http://link.springer.com/article/10.1007/s41019-018-0080-6

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http://link.springer.com/article/10.1007/s41019-018-0080-6

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