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DMKD
1997
ACM
308views Data Mining» more  DMKD 1997»
15 years 4 months ago
A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
Zhexue Huang
101
Voted
ESWA
2006
161views more  ESWA 2006»
15 years 20 days ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman
114
Voted
ICIP
2001
IEEE
16 years 2 months ago
Indoor vs outdoor classification of consumer photographs using low-level and semantic features
Scene categorization to indoor vs outdoor may be approached by using low-level features for inferring high-level information about the image. Low-level features such as color and ...
Jiebo Luo, Andreas E. Savakis
ICPR
2002
IEEE
16 years 1 months ago
Adaptive Kernel Metric Nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions due to the curse-ofdimensionality. Sev...
Jing Peng, Douglas R. Heisterkamp, H. K. Dai
102
Voted
ICML
2007
IEEE
16 years 1 months ago
Hybrid huberized support vector machines for microarray classification
The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
Li Wang, Ji Zhu, Hui Zou