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» Cluster Analysis of High-Dimensional Data: A Case Study
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ICANN
2005
Springer
14 years 1 months ago
High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data
Multidimensional Scaling (MDS) is a powerful dimension reduction technique for embedding high-dimensional data into a lowdimensional target space. Thereby, the distance relationshi...
Marc Strickert, Stefan Teichmann, Nese Sreenivasul...
VL
2005
IEEE
107views Visual Languages» more  VL 2005»
14 years 1 months ago
Navigating Software Architectures with Constant Visual Complexity
Abstract— Visualizing software architecture faces the challenges of both data complexity and visual complexity. This paper presents an approach for visualizing software architect...
Wanchun Li, Peter Eades, Seok-Hee Hong
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
14 years 1 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
MMS
2006
13 years 7 months ago
View-invariant motion trajectory-based activity classification and recognition
Motion trajectories provide rich spatio-temporal information about an object's activity. The trajectory information can be obtained using a tracking algorithm on data streams ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
BMCBI
2010
109views more  BMCBI 2010»
13 years 8 months ago
ParallABEL: an R library for generalized parallelization of genome-wide association studies
Background: Genome-Wide Association (GWA) analysis is a powerful method for identifying loci associated with complex traits and drug response. Parts of GWA analyses, especially th...
Unitsa Sangket, Surakameth Mahasirimongkol, Wasun ...