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ICDE
2005
IEEE
132views Database» more  ICDE 2005»
14 years 1 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
SIGMOD
1998
ACM
233views Database» more  SIGMOD 1998»
13 years 12 months ago
Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications
Data mining applications place special requirements on clustering algorithms including: the ability to nd clusters embedded in subspaces of high dimensional data, scalability, end...
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopul...
ICMCS
2008
IEEE
119views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Query oriented subspace shifting for near-duplicate image detection
Near-duplicate image detection is a critical task in copyright protection. More challenging than the common similarity search, this task requires not only the retrieval of the top...
Lei Wu, Jing Liu, Nenghai Yu, Mingjing Li
CEE
2010
185views more  CEE 2010»
13 years 7 months ago
A constrained optimization approach for an adaptive generalized subspace tracking algorithm
In this paper, we present a new algorithm for tracking the generalized signal subspace recursively. It is based on an interpretation of the generalized signal subspace as the solu...
Amir Valizadeh, Mahsa Najibi
CEC
2007
IEEE
14 years 2 months ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao