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» Document clustering based on cluster validation
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GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
14 years 1 months ago
Kernel based automatic clustering using modified particle swarm optimization algorithm
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
Ajith Abraham, Swagatam Das, Amit Konar
CCGRID
2005
IEEE
14 years 1 months ago
Evaluating the performance of the dNFSP file system
Parallel I/O in cluster computing is one of the most important issues to be tackled as clusters grow larger and larger. Many solutions have been proposed for the problem and, whil...
R. Kassick, Caciano Machado, Everton Hermann, Rafa...
SIGIR
2002
ACM
13 years 7 months ago
Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering
A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. Sp...
Hongyuan Zha
ICDAR
2011
IEEE
12 years 7 months ago
Robust Vanishing Point Detection for MobileCam-Based Documents
—Document images captured by a mobile phone camera often have perspective distortions. In this paper, fast and robust vanishing point detection methods for such perspective docum...
Xu-Cheng Yin, Hong-Wei Hao, Jun Sun 0004, Satoshi ...
AAAI
2010
13 years 9 months ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...