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» Vector map compression: a clustering approach
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VISUALIZATION
2000
IEEE
13 years 9 months ago
Topology preserving compression of 2D vector fields
We present an algorithm for compressing 2D vector fields that preserves topology. Our approach is to simplify the given data set using constrained clustering. We employ different...
Suresh K. Lodha, Jose C. Renteria, Krishna M. Rosk...
IJCNN
2006
IEEE
13 years 11 months ago
A Self-Organising Map Approach for Clustering of XML Documents
— The number of XML documents produced and available on the Internet is steadily increasing. It is thus important to devise automatic procedures to extract useful information fro...
Francesca Trentini, Markus Hagenbuchner, Alessandr...
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 8 days ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
IVC
2007
94views more  IVC 2007»
13 years 5 months ago
Vector quantization and fuzzy ranks for image reconstruction
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
Stefano Rovetta, Francesco Masulli
AICCSA
2001
IEEE
81views Hardware» more  AICCSA 2001»
13 years 9 months ago
Connectionist Approach for Website Visitors Behaviors Mining
In this paper, we propose a new version of the topological maps algorithm, which has been used to cluster web site visitors. These are characterized by partially redundant variabl...
Khalid Benabdeslem, Younès Bennani, Eric Ja...