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» Using Clustering Methods for Discovering Event Structures
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JFR
2006
88views more  JFR 2006»
13 years 8 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
14 years 2 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
UML
2004
Springer
14 years 1 months ago
Determining the Structural Events That May Violate an Integrity Constraint
Any implementation of an information system must ensure that an operation is only applied if its execution does not lead to a violation of any of the integrity constraints defined ...
Jordi Cabot, Ernest Teniente
ICML
2007
IEEE
14 years 9 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen
IBPRIA
2007
Springer
14 years 2 months ago
Registration-Based Segmentation Using the Information Bottleneck Method
We present two new clustering algorithms for medical image segmentation based on the multimodal image registration and the information bottleneck method. In these algorithms, the h...
Anton Bardera, Miquel Feixas, Imma Boada, Jaume Ri...