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DATE
2002
IEEE
82views Hardware» more  DATE 2002»
15 years 11 months ago
Dynamic Scheduling and Clustering in Symbolic Image Computation
The core computation in BDD-based symbolic synthesis and verification is forming the image and pre-image of sets of states under the transition relation characterizing the sequen...
Gianpiero Cabodi, Paolo Camurati, Stefano Quer
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 11 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
ICPR
2002
IEEE
15 years 11 months ago
A Large Scale Clustering Scheme for Kernel K-Means
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
Rong Zhang, Alexander I. Rudnicky
AAAI
2008
15 years 9 months ago
Clustering on Complex Graphs
Complex graphs, in which multi-type nodes are linked to each other, frequently arise in many important applications, such as Web mining, information retrieval, bioinformatics, and...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu, Tian...
BIBE
2010
IEEE
181views Bioinformatics» more  BIBE 2010»
15 years 7 months ago
Multi Level Clustering of Phylogenetic Profiles
The prediction of gene function from genome sequences is one of the main issues in Bioinformatics. Most computational approaches are based on the similarity between sequences to in...
Fotis E. Psomopoulos, Pericles A. Mitkas