Sciweavers

1061 search results - page 101 / 213
» Massive Data Pre-Processing with a Cluster Based Approach
Sort
View
RECOMB
2007
Springer
16 years 4 months ago
An Efficient and Accurate Graph-Based Approach to Detect Population Substructure
Currently, large-scale projects are underway to perform whole genome disease association studies. Such studies involve the genotyping of hundreds of thousands of SNP markers. One o...
Srinath Sridhar, Satish Rao, Eran Halperin
138
Voted
VISUALIZATION
2000
IEEE
15 years 8 months ago
A continuous clustering method for vector fields
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
Harald Garcke, Tobias Preußer, Martin Rumpf,...
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
15 years 1 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
15 years 8 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
CSREAESA
2006
15 years 5 months ago
FEMPI: A Lightweight Fault-tolerant MPI for Embedded Cluster Systems
- Ever-increasing demands of space missions for data returns from their limited processing and communications resources have made the traditional approach of data gathering, data c...
Rajagopal Subramaniyan, Vikas Aggarwal, Adam Jacob...