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CSB
2003
IEEE
150views Bioinformatics» more  CSB 2003»
16 years 1 days ago
Algorithms for Bounded-Error Correlation of High Dimensional Data in Microarray Experiments
The problem of clustering continuous valued data has been well studied in literature. Its application to microarray analysis relies on such algorithms as -means, dimensionality re...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
IS
2010
15 years 5 months ago
DB-SMoT: A direction-based spatio-temporal clustering method
—Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed ...
Jose Antonio M. R. Rocha, Valéria Ces&aacut...
RECOMB
2006
Springer
16 years 7 months ago
Identification and Evaluation of Functional Modules in Gene Co-expression Networks
Abstract. Identifying gene functional modules is an important step towards elucidating gene functions at a global scale. In this paper, we introduce a simple method to construct ge...
Jianhua Ruan, Weixiong Zhang
MSWIM
2006
ACM
16 years 21 days ago
Analysis of soft handover measurements in 3G network
A neural network based clustering method for the analysis of soft handovers in 3G network is introduced. The method is highly visual and it could be utilized in explorative analys...
Kimmo Raivio
SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
16 years 4 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar