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SIGIR
2000
ACM
14 years 23 hour ago
An investigation of linguistic features and clustering algorithms for topical document clustering
We investigate four hierarchical clustering methods (single-link, complete-link, groupwise-average, and single-pass) and two linguistically motivated text features (noun phrase he...
Vasileios Hatzivassiloglou, Luis Gravano, Ankineed...
ESEM
2007
ACM
13 years 9 months ago
Assessing, Comparing, and Combining Statechart- based testing and Structural testing: An Experiment
An important number of studies have addressed the importance of models in software engineering, mainly in the design of robust software systems. Although models have been proven t...
Samar Mouchawrab, Lionel C. Briand, Yvan Labiche
ICDM
2008
IEEE
230views Data Mining» more  ICDM 2008»
14 years 2 months ago
Evolutionary Clustering by Hierarchical Dirichlet Process with Hidden Markov State
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
AIME
2007
Springer
14 years 1 months ago
Hierarchical Latent Class Models and Statistical Foundation for Traditional Chinese Medicine
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
Nevin Lianwen Zhang, Shihong Yuan, Tao Chen, Yi Wa...
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
13 years 9 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge