1010 search results - page 13 / 202 » Measuring Similarity between Sets of Overlapping Clusters |
ICDM
2010
IEEE
13 years 8 months ago
2010
IEEE
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
AIA
2006
13 years 11 months ago
2006
Time series data is usually stored and processed in the form of discrete trajectories of multidimensional measurement points. In order to compare the measurements of a query traje...
IDEAL
2000
Springer
14 years 1 months ago
2000
Springer
Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...
ICDE
1999
IEEE
14 years 11 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...