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» Cascade Evaluation of Clustering Algorithms
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ICALT
2005
IEEE
15 years 5 months ago
The Effect of Correlation on the Accuracy of Meta-Learning Approach
Meta-learning is an efficient approach in the field of machine learning, which involves multiple classifiers. In this paper, a meta-learning framework consisting of stacking meta-...
Li-ying Yang, Zheng Qin
ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
15 years 5 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
90
Voted
KDD
2005
ACM
135views Data Mining» more  KDD 2005»
16 years 5 days ago
A hybrid unsupervised approach for document clustering
We propose a hybrid, unsupervised document clustering approach that combines a hierarchical clustering algorithm with Expectation Maximization. We developed several heuristics to ...
Mihai Surdeanu, Jordi Turmo, Alicia Ageno
HIS
2003
15 years 1 months ago
On the Performance of Ant-based Clustering
Ant-based clustering and sorting is a nature-inspired heuristic for general clustering tasks. It has been applied variously, from problems arising in commerce, to circuit design, t...
Julia Handl, Joshua D. Knowles, Marco Dorigo
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
15 years 5 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu