1061 search results - page 61 / 213 » Massive Data Pre-Processing with a Cluster Based Approach |
SCIA
2005
Springer
14 years 2 months ago
2005
Springer
Clustering algorithms are intensively used in the image analysis field in compression, segmentation, recognition and other tasks. In this work we present a new approach in clusteri...
TKDE
2008
13 years 8 months ago
2008
Clustering is a popular technique for analyzing microarray data sets, with n genes and m experimental conditions. As explored by biologists, there is a real need to identify coregu...
JFR
2006
13 years 8 months ago
2006
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...
ICDM
2006
IEEE
14 years 2 months ago
2006
IEEE
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...