130 search results - page 2 / 26 » GAPS: A clustering method using a new point symmetry-based d... |
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Detecting local clustered anomalies is an intricate problem for many existing anomaly detection methods. Distance-based and density-based methods are inherently restricted by their...
ISAAC
2009
Springer
13 years 11 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
RIAO
2007
13 years 6 months ago
2007
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
CIT
2007
Springer
13 years 10 months ago
2007
Springer
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
BMCBI
2007
13 years 4 months ago
2007
Background: Biological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data c...