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» Fast Hierarchical Clustering Based on Compressed Data
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WWW
2008
ACM
14 years 8 months ago
A framework for fast community extraction of large-scale networks
Most of the faster community extraction algorithms are based on the Clauset, Newman and Moore (CNM), which is employed for networks with sizes up to 500,000 nodes. The modificatio...
Yutaka I. Leon-Suematsu, Kikuo Yuta
ISMIS
1997
Springer
13 years 12 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
ADC
2007
Springer
183views Database» more  ADC 2007»
13 years 11 months ago
Efficient Similarity Search by Summarization in Large Video Database
With the explosion of video data, video processing technologies have advanced quickly and been applied into many fields, such as advertisements, medical etc.. To fast search these...
Xiangmin Zhou, Xiaofang Zhou, Heng Tao Shen
PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
13 years 6 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
SAC
2004
ACM
14 years 1 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra