ClusPath: a temporal-driven clustering to infer typical evolution paths

DOI10.1007/S10618-015-0445-7zbMath1416.62356arXiv1512.03501OpenAlexW3103235729MaRDI QIDQ1741283

Julien Velcin, Stéphane Lallich, Marian-Andrei Rizoiu, Stéphane Bonnevay

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1512.03501

zbMATH Keywords

semi-supervised clusteringtemporal clusteringdetection of long-term trendsevolutionary clusteringPareto front estimationtemporal cluster graph

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Economic time series analysis (91B84)

Related Items (1)

ClusPath

Uses Software

• SPEA2

Cites Work

• Unnamed Item
• Theory of multiobjective optimization
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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