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» Classes and clusters in data analysis
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
VIS
2008
IEEE
204views Visualization» more  VIS 2008»
15 years 11 months ago
Surface Extraction from Multi-field Particle Volume Data Using Multi-dimensional Cluster Visualization
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
Lars Linsen, Tran Van Long, Paul Rosenthal, Ste...
APVIS
2003
14 years 11 months ago
Visualising Class Cohesion with Virtual Worlds
High cohesion, or module strength, indicates that a system has been well partitioned into components which have strong internal relationships. An understanding of cohesion is an i...
Neville Churcher, Warwick Irwin, Ronald D. Kriz
IBPRIA
2005
Springer
15 years 3 months ago
Solving Particularization with Supervised Clustering Competition Scheme
The process of mixing labelled and unlabelled data is being recently studied in semi-supervision techniques. However, this is not the only scenario in which mixture of labelled and...
Oriol Pujol, Petia Radeva
TASLP
2008
143views more  TASLP 2008»
14 years 10 months ago
Strategies to Improve the Robustness of Agglomerative Hierarchical Clustering Under Data Source Variation for Speaker Diarizatio
Many current state-of-the-art speaker diarization systems exploit agglomerative hierarchical clustering (AHC) as their speaker clustering strategy, due to its simple processing str...
K. J. Han, S. Kim, S. S. Narayanan