Time series clustering with random convolutional kernels
type: Item
instance of: scholarly article
title: Time series clustering with random convolutional kernels
zbMATH Open document ID: 1545.62181
author: Marco-Blanco Jorge
author: Cuevas Rubén
published in: Data Mining and Knowledge Discovery
publication date: 2024-09-20T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 7917009
zbMATH Keywords: time series
zbMATH Keywords: clustering
zbMATH Keywords: machine learning
zbMATH Keywords: feature extraction
MaRDI profile type: Publication
cites work: Q4473286
cites work: Should we really use post-hoc tests based on mean-ranks?
cites work: ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
cites work: Q3093335
cites work: The use of ranks to avoid the assumption of normality implicit in the analysis of variance.
cites work: Q3096211
cites work: Q5270493
cites work: Deep learning for time series classification: a review
cites work: Principal component analysis.
cites work: Q3902876
cites work: Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control
cites work: Q5617409
cites work: On lines and planes of closest fit to systems of points in space.
cites work: Q5396710
DOI: 10.1007/S10618-024-01018-X
description: scientific article; zbMATH DE number 7917009