Cluster analysis on dynamic graphs

This project describes: a novel graph clustering algorithm that is an efficient extension of the Gibbs sampling under distance-dependent Chinese Restaurant Process, ddCRP for graph, a general cluster ensemble, and a cluster matching algorithm based on the concept of Meta-Graph [32], an algorithm...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Nguyen, Ngoc Khanh
مؤلفون آخرون: Ke Yiping, Kelly
التنسيق: Final Year Project
اللغة:English
منشور في: Nanyang Technological University 2020
الموضوعات:
الوصول للمادة أونلاين:https://hdl.handle.net/10356/144629
الوسوم: إضافة وسم
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المؤسسة: Nanyang Technological University
اللغة: English
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spelling sg-ntu-dr.10356-1446292020-11-16T06:26:26Z Cluster analysis on dynamic graphs Nguyen, Ngoc Khanh Ke Yiping, Kelly School of Computer Science and Engineering ypke@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Pattern recognition This project describes: a novel graph clustering algorithm that is an efficient extension of the Gibbs sampling under distance-dependent Chinese Restaurant Process, ddCRP for graph, a general cluster ensemble, and a cluster matching algorithm based on the concept of Meta-Graph [32], an algorithm pipeline to tackle the dynamic graph clustering problem, intensive experiments to measure performance of the new algorithms. Bachelor of Engineering (Computer Science) 2020-11-16T06:23:05Z 2020-11-16T06:23:05Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/144629 en SCSE19-0810 application/pdf application/octet-stream Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
Nguyen, Ngoc Khanh
Cluster analysis on dynamic graphs
description This project describes: a novel graph clustering algorithm that is an efficient extension of the Gibbs sampling under distance-dependent Chinese Restaurant Process, ddCRP for graph, a general cluster ensemble, and a cluster matching algorithm based on the concept of Meta-Graph [32], an algorithm pipeline to tackle the dynamic graph clustering problem, intensive experiments to measure performance of the new algorithms.
author2 Ke Yiping, Kelly
author_facet Ke Yiping, Kelly
Nguyen, Ngoc Khanh
format Final Year Project
author Nguyen, Ngoc Khanh
author_sort Nguyen, Ngoc Khanh
title Cluster analysis on dynamic graphs
title_short Cluster analysis on dynamic graphs
title_full Cluster analysis on dynamic graphs
title_fullStr Cluster analysis on dynamic graphs
title_full_unstemmed Cluster analysis on dynamic graphs
title_sort cluster analysis on dynamic graphs
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/144629
_version_ 1688665678614102016