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» Landscape of Clustering Algorithms
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155
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CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 6 months ago
Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
Georges Hébrail, Bernard Hugueney, Yves Lec...
FSKD
2007
Springer
158views Fuzzy Logic» more  FSKD 2007»
16 years 9 days ago
LET: Towards More Precise Clustering of Search Results
Web users are always distracted by a large number of results returned from search engines. Clustering can efficiently facilitate users’ browsing pages of certain topic. However...
Yi Zhang, Lidong Bing, Yexin Wang, Yan Zhang
ICMCS
2009
IEEE
117views Multimedia» more  ICMCS 2009»
15 years 3 months ago
Clustering for music search results
Clustering for better representation of the diversity of text or image search results has been studied extensively. In this paper, we extend this methodology to the novel domain o...
Yi-Hsuan Yang, Yu-Ching Lin, Homer H. Chen
EDBT
2006
ACM
191views Database» more  EDBT 2006»
16 years 6 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh
167
Voted
EDBT
2008
ACM
167views Database» more  EDBT 2008»
16 years 6 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant