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» Identifying Objects Using Cluster and Concept Analysis
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VIS
2004
IEEE
166views Visualization» more  VIS 2004»
16 years 11 days ago
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases
Multimedia objects are often described by high-dimensional feature vectors which can be used for retrieval and clustering tasks. We have built an interactive retrieval system for ...
Benjamin Bustos, Daniel A. Keim, Christian Panse, ...
PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
14 years 9 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...
IJKDB
2010
170views more  IJKDB 2010»
14 years 8 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
CLA
2004
15 years 17 days ago
Planarity of Additively Drawn Concept Lattices
In Formal Concept Analysis, it is a very important but quite difficult task to draw line diagrams of concept lattices automatically. In particular, we want every planar lattice to ...
Christian Zschalig
EDBT
2008
ACM
167views Database» more  EDBT 2008»
15 years 11 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant