ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1612.00637
  4. Cited By
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
PSEUDo: Interactive Pattern Search in Multivariate Time Series with
  Locality-Sensitive Hashing and Relevance Feedback
PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback
Yuncong Yu
Dylan Kruyff
Tim Becker
M. Behrisch
AI4TS
55
13
0
30 Apr 2021
A Benchmark Study on Time Series Clustering
A Benchmark Study on Time Series Clustering
A. Javed
B. Lee
D. Rizzo
AI4TS
40
115
0
20 Apr 2020
1