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A General Framework for Density Based Time Series Clustering Exploiting
  a Novel Admissible Pruning Strategy

A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy

2 December 2016
Nurjahan Begum
Liudmila Ulanova
Hoang Anh Dau
Jun Wang
Eamonn Keogh
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy"

2 / 2 papers shown
Title
Efficient Active Algorithms for Hierarchical Clustering
Efficient Active Algorithms for Hierarchical Clustering
A. Krishnamurthy
Sivaraman Balakrishnan
Min Xu
Aarti Singh
85
88
0
18 Jun 2012
Experimental Comparison of Representation Methods and Distance Measures
  for Time Series Data
Experimental Comparison of Representation Methods and Distance Measures for Time Series Data
Xiaoyue Wang
Hui Ding
Goce Trajcevski
P. Scheuermann
Eamonn Keogh
AI4TS
81
849
0
09 Dec 2010
1