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» Adaptive K-Means Clustering
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ESANN
2007
14 years 11 months ago
Self-organized chains for clustering
This paper presents a new algorithm for clustering. It is an generalisation of the K-means algorithms . Each cluster will be represented by a chain of prototypes instead of being r...
Hassan Ghaziri
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
15 years 10 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
ICAPR
2001
Springer
15 years 2 months ago
Image Retrieval Using a Hierarchy of Clusters
The goal of this paper is to describe an efficient procedure for color-based image retrieval. The proposed procedure consists of two stages. First, the image data set is hierarchi...
Daniela Stan, Ishwar K. Sethi
ISBI
2007
IEEE
15 years 4 months ago
Multivariate Hypothesis Testing of Dti Data for Tissue Clustering
In this work we investigate the feasibility and effectiveness of unsupervised tissue clustering and classification algorithms for DTI data. Tissue clustering and classification ...
Raisa Z. Freidlin, Yaniv Assaf, Peter J. Basser
CLUSTER
2005
IEEE
15 years 3 months ago
VioCluster: Virtualization for Dynamic Computational Domains
A large organization, such as a university, commonly supplies computational power through multiple independently administered computational domains (e.g. clusters). Each computati...
Paul Ruth, P. McGachey, Dongyan Xu