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IJKDB
2010
170views more  IJKDB 2010»
15 years 4 months ago
Clustering Genes Using Heterogeneous Data Sources
Clustering of gene expression data is a standard exploratory technique used to identify closely related genes. Many other sources of data are also likely to be of great assistance...
Erliang Zeng, Chengyong Yang, Tao Li, Giri Narasim...
ICDCS
2012
IEEE
13 years 9 months ago
NEAT: Road Network Aware Trajectory Clustering
—Mining trajectory data has been gaining significant interest in recent years. However, existing approaches to trajectory clustering are mainly based on density and Euclidean di...
Binh Han, Ling Liu, Edward Omiecinski
CVPR
2006
IEEE
16 years 8 months ago
Clustering Appearance for Scene Analysis
We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their s...
Sanjeev J. Koppal, Srinivasa G. Narasimhan
CLUSTER
2008
IEEE
16 years 1 months ago
Impact of topology and link aggregation on a PC cluster with Ethernet
Abstract—In addition to its use in local area networks, Ethernet has been used for connecting hosts in the area of highperformance computing. Here, we investigated the impact of ...
Takafumi Watanabe, Masahiro Nakao, Tomoyuki Hiroya...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 7 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo