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» On the Comparability of Software Clustering Algorithms
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ICPR
2008
IEEE
14 years 2 months ago
Adaptive selection of non-target cluster centers for K-means tracker
Hua et al. have proposed a stable and efficient tracking algorithm called “K-means tracker”[2, 3, 5]. This paper describes an adaptive non-target cluster center selection met...
Hiroshi Oike, Haiyuan Wu, Toshikazu Wada
ISPAN
2005
IEEE
14 years 1 months ago
Coordinated Robust Routing by Dual Cluster Heads in Layered Wireless Sensor Networks
In this paper, we propose the coordinated robust routing (CRR) scheme to address the fault tolerance requirements in the layered wireless sensor networks. In the proposed scheme, ...
Mei Yang, Jianping Wang, Zhen-guo Gao, Yingtao Jia...
PRIS
2004
13 years 9 months ago
Comparison of Combination Methods using Spectral Clustering Ensembles
We address the problem of the combination of multiple data partitions, that we call a clustering ensemble. We use a recent clustering approach, known as Spectral Clustering, and th...
André Lourenço, Ana L. N. Fred
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
13 years 9 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
ICDM
2008
IEEE
90views Data Mining» more  ICDM 2008»
14 years 2 months ago
Finding Alternative Clusterings Using Constraints
1 The aim of data mining is to find novel and actionable insights. However, most algorithms typically just find a single explanation of the data even though alternatives could e...
Ian Davidson, Zijie Qi