Efficient construction of an approximate similarity graph for minimum spanning tree based clustering-Reference-Cited by-同舟云学术

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Efficient construction of an approximate similarity graph for minimum spanning tree based clustering

Published:2020-12 Issue: Volume:97 Page:106676
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Mishra Gaurav^ORCID,Mohanty Sraban Kumar

Publisher

Elsevier BV

Subject

Software

Reference39 articles.

1. Data clustering: 50 years beyond k-means;Jain;Pattern Recognit. Lett.,2010

2. Hierarchical clustering schemes;Johnson;Psychometrika,1967

3. Chameleon: Hierarchical clustering using dynamic modeling;Karypis;Computer,1999

4. A density-based algorithm for discovering clusters in large spatial databases with noise;Ester,1996

5. Minimum spanning tree based split-and-merge: A hierarchical clustering method;Zhong;Inform. Sci.,2011

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1. Fast and Memory-Efficient Approximate Minimum Spanning Tree Generation for Large Datasets;Arabian Journal for Science and Engineering;2024-06-21

2. A fast O(NlgN) time hybrid clustering algorithm using the circumference proximity based merging technique for diversified datasets;Engineering Applications of Artificial Intelligence;2023-10

3. DCSNE: Density-based Clustering using Graph Shared Neighbors and Entropy;Pattern Recognition;2023-05

4. A Graph Learning Framework for Prediction of Missing Landmines Using Airborne Magnetometry in Iot Environment;2023

5. Consensus similarity graph construction for clustering;Pattern Analysis and Applications;2022-11-27

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