A Unified Framework for Model-based Clustering

By Shi Zhong, Joydeep Ghosh. Journal of machine learning research, 2003

352 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/802329695f8112ba59a865d05f6e848c724b2078

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Clustering on the Unit Hypersphere using von Mises-Fisher Distributions (2005, methodology): “A fairly extensive list of references on generative approaches to text clustering can be found in (Zhong and Ghosh, 2003a).”
Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering (2013, methodology): “We use 2 data sets 20Newsgroups and Reviews in (Zhong and Ghosh 2003)1.”
Multi-Task Multi-View Clustering (2016, methodology): “To evaluate the clustering results, we adopt two widely used metrics [68]: clustering accuracy (Acc) and normalized mutual information (NMI).”
Smart Multitask Bregman Clustering and Multitask Kernel Clustering (2015, methodology): “We adopt two widely used metrics [Zhong and Ghosh 2003]: clustering accuracy (Acc) and normalized mutual information (NMI).”
A Comprehensive Survey of Clustering Algorithms (2015, background): “For more detailed information about this kind of clustering algorithms, you can refer to [70–75].”
Parallel Spectral Clustering in Distributed Systems (2011, methodology): “Similarly, we reported the best clustering performance of SC (Fixed-and Self-tune) by searching a set of numbers of nearest neighbors (5; . . . ; 200 for Corel, and 20; . . . ; 200 for RCV1) for both, and a grid of values (10; . . . ; 40 for Corel, and 0:5; . . . ; 2:5 for RCV1) for SC.”
Introduction to the special topic section on mining Web resources for enhancing information retrieval (2007, methodology): “Current clustering techniques can be classified into two categories in the Web domain: distancebased approaches and model-based approaches ( Zhong & Ghosh, 2003 ).”
A review of moving object trajectory clustering algorithms (2016, background): “Therefore, many researches, such as Zhong and Ghosh (2003), and Fraley and Raftery (2002) tried to find a unified clustering model and framework for grouping complex data (Table 1).”