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A shape-based cutting and clustering algorithm for multiple change-point detection · Study

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ArticleA shape-based cutting and clustering algorithm for multiple change-point detection

Dan Zhuang2019

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Articlebronze2019

A shape-based cutting and clustering algorithm for multiple change-point detection

Dan Zhuang · Youbo Liu · Shuangzhe Liu · Tiefeng Ma · S. H. Ong

11 citations·0/0 files stored·Journal of Computational and Applied Mathematics

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Advanced Statistical Process Monitoring Advanced Clustering Algorithms Research Time Series Analysis and Forecasting

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References

20132013 IEEE International Conference on Big Data 2014Wild binary segmentation for multiple change-point detection 1993Nonparametric Methods in Change-Point Problems 2011Parametric Statistical Change Point Analysis 2001Fitting multiple change-point models to data 2016Multiple Change-Point Detection: A Selective Overview 1988Detection of the number, locations and magnitudes of jumps 1997Some Problems with Application of Change-Point Detection Methods to Environmental Data

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2017Multiple Change Point Analysis: Fast Implementation and Strong Consistencyarticle · 4 shared references 2019Rank-based multiple change-point detectionarticle · 4 shared references 2014Multiscale Change Point Inferencearticle · 3 shared references 2006Detection of multiple change-points in multivariate time seriesarticle · 3 shared references 2013Detection of multiple change-points in multivariate dataarticle · 3 shared references 2021High dimensional change point inference: Recent developments and extensionsarticle · 3 shared references

Details

Year2019

Typearticle

Published2019-11-20

VenueJournal of Computational and Applied Mathematics

ISSN-L0377-0427

Languageen

Citations11

Files0 public / 0

ShelfAdvanced Statistical Process Monitoring

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doi10.1016/j.cam.2019.112623

openalex_workW2991199635

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