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» An objective approach to cluster validation
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IS
2010
14 years 8 months ago
DB-SMoT: A direction-based spatio-temporal clustering method
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
Jose Antonio M. R. Rocha, Valéria Ces&aacut...
ICRA
2009
IEEE
157views Robotics» more  ICRA 2009»
15 years 4 months ago
From pixels to objects: Enabling a spatial model for humanoid social robots
— This work adds the concept of object to an existent low-level attention system of the humanoid robot iCub. The objects are defined as clusters of SIFT visual features. When th...
Dario Figueira, Manuel Lopes, Rodrigo M. M. Ventur...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 1 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
UML
2005
Springer
15 years 3 months ago
Using Process Algebra to Validate Behavioral Aspects of Object-Oriented Models
We present in this paper a rigorous and automated based approach for the behavioral validation of control software systems. This approach relies on metamodeling, model-transformati...
Alban Rasse, Jean-Marc Perronne, Pierre-Alain Mull...
ADBIS
2007
Springer
132views Database» more  ADBIS 2007»
15 years 4 months ago
Clustering Approach to Generalized Pattern Identification Based on Multi-instanced Objects with DARA
Clustering is an essential data mining task with various types of applications. Traditional clustering algorithms are based on a vector space model representation. A relational dat...
Rayner Alfred, Dimitar Kazakov