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PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
15 years 8 months 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...
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 5 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
BIRD
2008
Springer
163views Bioinformatics» more  BIRD 2008»
15 years 3 months ago
Multi-functional Protein Clustering in PPI Networks
Abstract. Protein-Protein Interaction (PPI) networks contain valuable information for the isolation of groups of proteins that participate in the same biological function. Many pro...
Clara Pizzuti, Simona E. Rombo
APVIS
2008
15 years 2 months ago
Visual Statistics for Collections of Clustered Graphs
We propose a method to visually summarize collections of networks on which a clustering of the vertices is given. Our method allows for efficient comparison of individual networks...
Ulrik Brandes, Jürgen Lerner, Miranda J. Lubb...
CIKM
2009
Springer
15 years 8 months ago
Fragment-based clustering ensembles
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
Ou Wu, Mingliang Zhu, Weiming Hu