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» An Approach to Clustering Abstracts
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SMC
2007
IEEE
103views Control Systems» more  SMC 2007»
14 years 1 months ago
A new evaluation measure for information retrieval systems
Abstract— Some of the established approaches to evaluating text clustering algorithms for information retrieval show theoretical flaws. In this paper, we analyze these flaws an...
Martin Mehlitz, Christian Bauckhage, Jér&oc...
DAWAK
2007
Springer
14 years 1 months ago
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng ...
ECSQARU
2009
Springer
14 years 2 months ago
Belief Functions and Cluster Ensembles
Abstract. In this paper, belief functions, defined on the lattice of partitions of a set of objects, are investigated as a suitable framework for combining multiple clusterings. W...
Marie-Hélène Masson, Thierry Denoeux
EDM
2009
105views Data Mining» more  EDM 2009»
13 years 5 months ago
Subspace Clustering of Skill Mastery: Identifying Skills that Separate Students
Abstract. In educational research, a fundamental goal is identifying which skills students have mastered, which skills they have not, and which skills they are in the process of ma...
Rebecca Nugent, Elizabeth Ayers, Nema Dean
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 5 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu