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CICLING
2009
Springer
16 years 6 months ago
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
Kazunari Sugiyama, Manabu Okumura
CHI
2010
ACM
16 years 1 months ago
Graphemes: self-organizing shape-based clustered structures for network visualisations
Network visualisations use clustering approaches to simplify the presentation of complex graph structures. We present a novel application of clustering algorithms, which controls ...
Ross Shannon, Aaron J. Quigley, Paddy Nixon
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
16 years 21 days ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
ACL
2000
15 years 7 months ago
Inducing Probabilistic Syllable Classes Using Multivariate Clustering
An approach to automatic detection of syllable structure is presented. We demonstrate a novel application of EM-based clustering to multivariate data, exempli ed by the induction ...
Karin Müller, Bernd Möbius, Detlef Presc...
WIDM
2004
ACM
15 years 11 months ago
WISE-cluster: clustering e-commerce search engines automatically
In this paper, we propose a new approach to automatically clustering e-commerce search engines (ESEs) on the Web such that ESEs in the same cluster sell similar products. This all...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu