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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الوصف
الملخص: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.