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» A Multi-level Approach for Document Clustering
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ECIR
2009
Springer
14 years 4 months ago
Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints
This paper presents a new approach designed to reduce the computational load of the existing clustering algorithms by trimming down the documents size using fingerprinting methods...
Javier Parapar, Alvaro Barreiro
EMNLP
2011
12 years 7 months ago
Generating Aspect-oriented Multi-Document Summarization with Event-aspect model
In this paper, we propose a novel approach to automatic generation of aspect-oriented summaries from multiple documents. We first develop an event-aspect LDA model to cluster sen...
Peng Li, Yinglin Wang, Wei Gao, Jing Jiang
IPPS
2010
IEEE
13 years 5 months ago
Large-scale multi-dimensional document clustering on GPU clusters
Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulat...
Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas...
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
14 years 8 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
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 ...