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» Clustering Improves the Exploration of Graph Mining Results
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ASUNAM
2009
IEEE
15 years 4 months ago
Mining the Dynamics of Music Preferences from a Social Networking Site
In this paper we present an application of our incremental graph clustering algorithm (DENGRAPH) on a data set obtained from the music community site Last.fm. The aim of our study...
Nico Schlitter, Tanja Falkowski
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 1 days ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
MMM
2012
Springer
294views Multimedia» more  MMM 2012»
13 years 7 months ago
Improving Cluster Selection and Event Modeling in Unsupervised Mining for Automatic Audiovisual Video Structuring
Abstract. Can we discover audio-visually consistent events from videos in a totally unsupervised manner? And, how to mine videos with different genres? In this paper we present our...
Anh-Phuong Ta, Mathieu Ben, Guillaume Gravier
87
Voted
HICSS
2006
IEEE
118views Biometrics» more  HICSS 2006»
15 years 5 months ago
Quantitative Measures for Evaluating Knowledge Network Node Clusters: Preliminary Results
One viewpoint of a knowledge network is a knowledge map that clusters similar knowledge sources into knowledge domains. What is needed is an automatic mapping tool that 1) takes t...
Mark Pendergast, Richard Orwig
129
Voted
ICWSM
2009
14 years 9 months ago
Gephi: An Open Source Software for Exploring and Manipulating Networks
Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and ...
Mathieu Bastian, Sebastien Heymann, Mathieu Jacomy