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KDD
2009
ACM
182views Data Mining» more  KDD 2009»
16 years 8 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 8 months ago
Efficient incremental constrained clustering
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper we explore the...
Ian Davidson, S. S. Ravi, Martin Ester
IWPC
2006
IEEE
16 years 1 months ago
Studying the Evolution of Software Systems Using Change Clusters
In this paper, we present an approach that examines the evolution of code stored in source control repositories. The technique identifies Change Clusters, which can help managers...
Jay Kothari, Ali Shokoufandeh, Spiros Mancoridis, ...
MM
2006
ACM
151views Multimedia» more  MM 2006»
16 years 1 months ago
News video search with fuzzy event clustering using high-level features
Precise automated video search is gaining in importance as the amount of multimedia information is increasing at exponential rates. One of the drawbacks that make video retrieval ...
Shi-Yong Neo, Yantao Zheng, Tat-Seng Chua, Qi Tian
ITCC
2005
IEEE
16 years 1 months ago
Mining Biomedical Images with Density-Based Clustering
Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial pr...
M. Emre Celebi, Y. Alp Aslandogan, Paul R. Bergstr...