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» Robust information-theoretic clustering
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ANTSW
2010
Springer
14 years 7 months ago
Evaluating the Robustness of Activator-Inhibitor Models for Cluster Head Computation
Activator-inhibitor models have been widely used to explain several morphogenetic processes. They have also been used to engineer algorithms for computer graphics, distributed syst...
Lidia Yamamoto, Daniele Miorandi

Publication
107views
15 years 6 months ago
RATC: A Robust Automated Tag Clustering Technique
Abstract. Nowadays, the most dominant and noteworthy web information sources are developed according to the collaborative-web paradigm, also known as Web 2.0. In particular, it rep...
Ludovico Boratto, Salvatore Carta, Eloisa Vargiu
64
Voted
BIOINFORMATICS
2000
99views more  BIOINFORMATICS 2000»
14 years 9 months ago
GeneRAGE: a robust algorithm for sequence clustering and domain detection
Motivation: Efficient, accurate and automatic clustering of large protein sequence datasets, such as complete proteomes, into families, according to sequence similarity. Detection...
Anton J. Enright, Christos A. Ouzounis
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
15 years 11 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
ICDAR
2009
IEEE
15 years 4 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...