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» Landscape of Clustering Algorithms
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171
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NIPS
1994
15 years 6 months ago
Convergence Properties of the K-Means Algorithms
This paper studies the convergence properties of the well known K-Means clustering algorithm. The K-Means algorithm can be described either as a gradient descent algorithmor by sl...
Léon Bottou, Yoshua Bengio
126
Voted
IPL
2008
78views more  IPL 2008»
15 years 5 months ago
An approximation ratio for biclustering
The problem of biclustering consists of the simultaneous clustering of rows and columns of a matrix such that each of the submatrices induced by a pair of row and column clusters ...
Kai Puolamäki, Sami Hanhijärvi, Gemma C....
147
Voted
EDBT
2004
ACM
268views Database» more  EDBT 2004»
16 years 5 months ago
DBDC: Density Based Distributed Clustering
Abstract. Clustering has become an increasingly important task in modern application domains such as marketing and purchasing assistance, multimedia, molecular biology as well as m...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
15 years 6 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu
199
Voted
ISPD
2005
ACM
188views Hardware» more  ISPD 2005»
15 years 10 months ago
A semi-persistent clustering technique for VLSI circuit placement
Placement is a critical component of today's physical synthesis flow with tremendous impact on the final performance of VLSI designs. However, it accounts for a significant p...
Charles J. Alpert, Andrew B. Kahng, Gi-Joon Nam, S...