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COORDINATION
2004
Springer
16 years 7 days ago
Probabilistic and Prioritized Data Retrieval in the Linda Coordination Model
Linda tuple spaces are flat and unstructured, in the sense that they do not allow for expressing preferences of tuples; for example, we could be interested in indicating tuples th...
Mario Bravetti, Roberto Gorrieri, Roberto Lucchi, ...
199
Voted
IDEAL
2004
Springer
16 years 7 days ago
Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data
Microarray datasets are often too large to visualise due to the high dimensionality. The self-organising map has been found useful to analyse massive complex datasets. It can be us...
Swapna Sarvesvaran, Hujun Yin
234
Voted
CCGRID
2010
IEEE
15 years 8 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
URBAN
2008
86views more  URBAN 2008»
15 years 6 months ago
Social area analysis, data mining, and GIS
: There is a long tradition of describing cities through a focus on the characteristics of their residents. A brief review of the history of this approach to describing cities high...
Seth E. Spielman, Jean-Claude Thill
204
Voted
ICPR
2006
IEEE
16 years 8 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...