Graph Local Clustering for Topic Detection in Web Collections

2009 ◽  
Author(s):  
Sara Elena Garza ◽  
Ramón Felipe Brena
Keyword(s):  
Topic Detection ◽  
Local Clustering

scholarly journals Topic Detection and Tracking Based on Windowed DBSCAN and Parallel KNN

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 3858-3870
Author(s):  
Chuanzhen Li ◽  
Minqiao Liu ◽  
Juanjuan Cai ◽  
Yang Yu ◽  
Hui Wang
Keyword(s):  
Topic Detection ◽  
Topic Detection And Tracking ◽  
Detection And Tracking

scholarly journals Out of sight, out of mind? The impact of correlated clustering in substructure lensing

2021 ◽  
Author(s):  
Alexandres Lazar ◽  
James S Bullock ◽  
Michael Boylan-Kolchin ◽  
Robert Feldmann ◽  
Onur Çatmabacak ◽  
...  
Keyword(s):  
Dark Matter ◽  
Principal Axis ◽  
Major Axis ◽  
Line Of Sight ◽  
Gravitational Lenses ◽  
Local Clustering ◽  
Analytic Expression ◽  
Halo Masses ◽  
The Impact

Abstract A promising route for revealing the existence of dark matter structures on mass scales smaller than the faintest galaxies is through their effect on strong gravitational lenses. We examine the role of local, lens-proximate clustering in boosting the lensing probability relative to contributions from substructure and unclustered line-of-sight (LOS) haloes. Using two cosmological simulations that can resolve halo masses of Mhalo ≃ 109 M⊙ (in a simulation box of length Lbox ∼ 100 Mpc) and 107 M⊙ (Lbox ∼ 20 Mpc), we demonstrate that clustering in the vicinity of the lens host produces a clear enhancement relative to an assumption of unclustered haloes that persists to >20 Rvir. This enhancement exceeds estimates that use a two-halo term to account for clustering, particularly within 2 − 5 Rvir. We provide an analytic expression for this excess, clustered contribution. We find that local clustering boosts the expected count of 109 M⊙ perturbing haloes by ${\sim }35{{\ \rm per\ cent}}$ compared to substructure alone, a result that will significantly enhance expected signals for low-redshift (zl ≃ 0.2) lenses, where substructure contributes substantially compared to LOS haloes. We also find that the orientation of the lens with respect to the line of sight (e.g. whether the line of sight passes through the major axis of the lens) can also have a significant effect on the lensing signal, boosting counts by an additional $\sim 50{{\ \rm per\ cent}}$ compared to a random orientations. This could be important if discovered lenses are biased to be oriented along their principal axis.

scholarly journals Development of Local Clustering Organization (LCO) for Solving TSP

2005 ◽  
Vol 71 (711) ◽  
pp. 3189-3195
Author(s):  
Masashi FURUKAWA ◽  
Michiko WATANABE ◽  
Yusuke MATSUMURA
Keyword(s):  
Local Clustering

Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams

2015 ◽  
Vol 11 (4) ◽  
pp. 1-21 ◽  
Author(s):  
Bing-Kun Bao ◽  
Changsheng Xu ◽  
Weiqing Min ◽  
Mohammod Shamim Hossain
Keyword(s):  
Topic Detection ◽  
Multimedia Streams ◽  
Cross Platform

A pattern-based topic detection and analysis system on Chinese tweets

2018 ◽  
Vol 28 ◽  
pp. 369-381 ◽  
Author(s):  
Lu Zhang ◽  
Zhiang Wu ◽  
Zhan Bu ◽  
Ye Jiang ◽  
Jie Cao
Keyword(s):  
Topic Detection ◽  
Analysis System
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