2065 search results - page 66 / 413 » Techniques of Cluster Algorithms in Data Mining |
133
Voted
FLAIRS
2007
15 years 4 months ago
2007
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
119
click to vote
IDEAL
2009
Springer
14 years 11 months ago
2009
Springer
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
123
Voted
PKDD
2010
Springer
14 years 11 months ago
2010
Springer
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
99
Voted
AINA
2008
IEEE
15 years 3 months ago
2008
IEEE
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
CIDM
2009
IEEE
15 years 8 months ago
2009
IEEE
– Clustering is an important task in spatial data mining and spatial analysis. We propose a clustering algorithm P-DBSCAN to cluster polygons in space. PDBSCAN is based on the we...