498 search results - page 3 / 100 » DESCRY: A Density Based Clustering Algorithm for Very Large ... |
CIDM
2007
IEEE
14 years 5 days ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
JMLR
2011
13 years 23 days ago
2011
Following Hartigan (1975), a cluster is defined as a connected component of the t-level set of the underlying density, that is, the set of points for which the density is greater...
IEEEVAST
2010
13 years 20 days ago
2010
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
ICDM
2006
IEEE
2006
IEEE
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets
13 years 12 months ago
In many clustering applications for bioinformatics, only part of the data clusters into one or more groups while the rest needs to be pruned. For such situations, we present Hiera...
EDBT
2004
ACM
14 years 6 months ago
2004
ACM
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...