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TIP
2010
97views more  TIP 2010»
14 years 4 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
TVCG
2012
213views Hardware» more  TVCG 2012»
13 years 10 days ago
Mesh-Driven Vector Field Clustering and Visualization: An Image-Based Approach
—Vector field visualization techniques have evolved very rapidly over the last two decades, however, visualizing vector fields on complex boundary surfaces from computational ...
Zhenmin Peng, Edward Grundy, Robert S. Laramee, Gu...
BMCBI
2010
177views more  BMCBI 2010»
14 years 10 months ago
Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets
Background: Phylogenetic analysis can be used to divide a protein family into subfamilies in the absence of experimental information. Most phylogenetic analysis methods utilize mu...
Aydin Albayrak, Hasan H. Otu, Ugur O. Sezerman
BMCBI
2004
208views more  BMCBI 2004»
14 years 9 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
ACSAC
2008
IEEE
14 years 12 months ago
Behavior-Profile Clustering for False Alert Reduction in Anomaly Detection Sensors
Anomaly Detection (AD) sensors compute behavior profiles to recognize malicious or anomalous activities. The behavior of a host is checked continuously by the AD sensor and an ale...
Vanessa Frías-Martínez, Salvatore J....