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» Cascade Evaluation of Clustering Algorithms
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TIP
2008
261views more  TIP 2008»
14 years 11 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
ICCV
2011
IEEE
13 years 12 months ago
Source Constrained Clustering
We consider the problem of quantizing data generated from disparate sources, e.g. subjects performing actions with different styles, movies with particular genre bias, various con...
Ekaterina Taralova, Fernando DelaTorre, Martial He...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
15 years 9 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
PDP
2010
IEEE
15 years 6 months ago
Skandium: Multi-core Programming with Algorithmic Skeletons
—This paper argues that algorithmic skeletons are a suitable programming model for multi-core architectures. -level abstractions offered by algorithmic skeletons provide a simple...
Mario Leyton, José M. Piquer
ICDM
2003
IEEE
107views Data Mining» more  ICDM 2003»
15 years 5 months ago
Objective and Subjective Algorithms for Grouping Association Rules
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
Aijun An, Shakil M. Khan, Xiangji Huang