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MCS
2007
Springer
13 years 11 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
ICDAR
2011
IEEE
12 years 5 months ago
Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation
—Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the...
Vasant Manohar, Shiv Naga Prasad Vitaladevuni, Hua...
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
13 years 3 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
TIP
2010
152views more  TIP 2010»
13 years 3 months ago
Registering a MultiSensor Ensemble of Images
—Many registration scenarios involve aligning more than just two images. These image sets—called ensembles—are conventionally registered by choosing one image as a template, ...
Jeff Orchard, Richard Mann
JMLR
2002
157views more  JMLR 2002»
13 years 5 months ago
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
Alexander Strehl, Joydeep Ghosh