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).

Based on the size of logistic distribution centers and the characteristics of what the customers demand for business-to customer (B2C) e-commerce companies, a mathematical model is developed to optimize the design of the distribution centers with a hierarchical agglomerative clustering method used to estimated the fuzzy cost of distribution transport from distribution centers to customers.

Then hierarchical cluster analysis is applied,consequently the prime area for embedding watermarking is decided adaptively.

An improved density based distributed clustering;

Algorithm ID-DC,which first get cluster models by using the distributed clustering algorithm on unlabeled training data and then labels these models through algorithm Double-Reference,overcomes the drawbacks of relying on labeled training data which most current anomaly-based intrusion detection depend on and expects to automatically partition the data set into a reasonable number.

The paper proposes a method GFAM for automatically generating fuzzy sets and their corresponding membership functions based on distributed clustering.