This paper proposes a method of clustering evaluation based on adaptive resonance theory for oil-gas trap and also makes an experiment on the classified evaluation of the trap.

Temporal-spatial variability of water quality of the lake is analyzed by comprehensive index method,fuzzy mathematics and hierarchical clustering method,while eutrophication of the lake is assessed by TSIM indexes.

This paper compares some approaches in microarray gene expression data analysis,including hierarchical clustering, K-means, fuzzy clustering and self-organized tree from space and time complexity of algorithms and biological significance of their results.

We used random matrix theory(RMT)to remove the noises in lung cancer gene expression data and used the modules approach and the hierarchical clustering approach to construct the gene networks.

Application of hierarchical clustering support vector machine in turbogenerator fault diagnosis;

After explaining the theory of FSVM,the SVM based on hierarchical clustering and decision tree is introduced to solve the multi-class recognition problem of fault line selection.

The research of the character image pre-processing focuses on the gray-scale image filtering algorithm, the skew detection of image and character segmentation algorithm; HCC-SVM has been presented as a kind of new fast SVM classification algorithm based on Hierarchical Clustering by Category (HCC).