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SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 2 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...
IJBRA
2007
116views more  IJBRA 2007»
14 years 9 months ago
Biomedical ontology improves biomedical literature clustering performance: a comparison study
: Document clustering has been used for better document retrieval and text mining. In this paper, we investigate if a biomedical ontology improves biomedical literature clustering ...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song
CVPR
2008
IEEE
15 years 12 months ago
A quasi-random sampling approach to image retrieval
In this paper, we present a novel approach to contentsbased image retrieval. The method hinges in the use of quasi-random sampling to retrieve those images in a database which are...
Jun Zhou, Antonio Robles-Kelly
VRST
2009
ACM
15 years 4 months ago
Indexing and retrieval of human motion data by a hierarchical tree
For the convenient reuse of large-scale 3D motion capture data, browsing and searching methods for the data should be explored. In this paper, an efficient indexing and retrieval...
Shuangyuan Wu, Zhaoqi Wang, Shihong Xia
CORR
2010
Springer
81views Education» more  CORR 2010»
14 years 4 months ago
Analysis of Agglomerative Clustering
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
Marcel R. Ackermann, Johannes Blömer, Daniel ...