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» An objective approach to cluster validation
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DEXAW
2008
IEEE
128views Database» more  DEXAW 2008»
15 years 4 months ago
Proximity Estimation and Hardness of Short-Text Corpora
Abstract—In this work, we investigate the relative hardness of shorttext corpora in clustering problems and how this hardness relates to traditional similarity measures. Our appr...
Marcelo Luis Errecalde, Diego Ingaramo, Paolo Ross...
CVPR
2011
IEEE
14 years 1 months ago
Max-margin Clustering: Detecting Margins from Projections of Points on Lines
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
Raghuraman Gopalan, Jagan Sankaranarayanan
BMCBI
2006
164views more  BMCBI 2006»
14 years 10 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
15 years 4 months ago
A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams
— Image segmentation is a critical task in computer vision. In the context of motion detection, a very popular segmentation approach is background substraction which consists in ...
Dizan Vasquez, Thierry Fraichard
MICRO
1998
IEEE
91views Hardware» more  MICRO 1998»
15 years 2 months ago
Effective Cluster Assignment for Modulo Scheduling
Clustering is one solution to the demand for wideissue machines and fast clock cycles because it allows for smaller, less ported register files and simpler bypass logic while rema...
Erik Nystrom, Alexandre E. Eichenberger