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» A Method for Dynamic Clustering of Data
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ISCIS
2005
Springer
15 years 5 months ago
Recursive Lists of Clusters: A Dynamic Data Structure for Range Queries in Metric Spaces
We introduce a novel data structure for solving the range query problem in generic metric spaces. It can be seen as a dynamic version of the List of Clusters data structure of Ch´...
Margarida Mamede
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
15 years 12 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
BMCBI
2006
126views more  BMCBI 2006»
14 years 12 months ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae
HPCA
2003
IEEE
16 years 4 days ago
Dynamic Data Replication: An Approach to Providing Fault-Tolerant Shared Memory Clusters
A challenging issue in today's server systems is to transparently deal with failures and application-imposed requirements for continuous operation. In this paper we address t...
Rosalia Christodoulopoulou, Reza Azimi, Angelos Bi...
ICCV
2009
IEEE
1556views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Kernel Methods for Weakly Supervised Mean Shift Clustering
Mean shift clustering is a powerful unsupervised data analysis technique which does not require prior knowledge of the number of clusters, and does not constrain the shape of th...
Oncel Tuzel, Fatih Porikli, Peter Meer