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PAKDD
2005
ACM
112views Data Mining» more  PAKDD 2005»
15 years 8 months ago
Approximated Clustering of Distributed High-Dimensional Data
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
IGPL
2011
14 years 10 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
JODL
2006
131views more  JODL 2006»
15 years 3 months ago
Keyframe-based video summarization using Delaunay clustering
Recent advances in technology have made tremendous amount of multimedia information available to the general population. An efficient way of dealing with this new development is t...
Padmavathi Mundur, Yong Rao, Yelena Yesha
BMCBI
2006
134views more  BMCBI 2006»
15 years 3 months ago
An approach for clustering gene expression data with error information
Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
Brian Tjaden
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 7 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...