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» Data Clustering: A Review
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BIBM
2008
IEEE
101views Bioinformatics» more  BIBM 2008»
14 years 4 months ago
Comparing and Clustering Flow Cytometry Data
Flow cytometry technique produces large, multidimensional datasets of properties of individual cells that are helpful for biomedical science and clinical research. This paper expl...
Lin Liu, Li Xiong, James J. Lu, Kim M. Gernert, Vi...
IJDMB
2006
125views more  IJDMB 2006»
13 years 10 months ago
Bi-level clustering of mixed categorical and numerical biomedical data
: Biomedical data sets often have mixed categorical and numerical types, where the former represent semantic information on the objects and the latter represent experimental result...
Bill Andreopoulos, Aijun An, Xiaogang Wang
JGTOOLS
2008
100views more  JGTOOLS 2008»
13 years 10 months ago
Proximity Cluster Trees
Hierarchical spatial data structures provide a means for organizing data for efficient processing. Most spatial data structures are optimized for performing queries, such as inters...
Elena Jakubiak Hutchinson, Sarah F. Frisken, Ronal...
ICCS
2004
Springer
14 years 3 months ago
Clustering of Conceptual Graphs with Sparse Data
This paper gives a theoretical framework for clustering a set of conceptual graphs characterized by sparse descriptions. The formed clusters are named in an intelligible manner thr...
Jean-Gabriel Ganascia, Julien Velcin
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
14 years 3 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...