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...
Saved in:
Main Author: | Nguyen, Ngoc Khanh |
---|---|
Other Authors: | Ke Yiping, Kelly |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/144629 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Cluster analysis on dynamic graphs
by: Er, Jia Chin
Published: (2021) -
Unsupervised data clustering for energy efficiency monitoring and analysis
by: Fu, Rong
Published: (2015) -
Incremental clustering methods and their applications on large data analysis
by: Wang, Yangtao
Published: (2016) -
Pattern mining in large graph database
by: Foon, Samuel Hoe Mun.
Published: (2012) -
Texture aware image segmentation using graph cuts and active contours
by: Zhou, Hailing, et al.
Published: (2013)