In spectrum analysis in oil monitoring, Because establishing limitable value of grads analysis is difficult, and cluster analysis is transparent, this paper combines the two analysis methods, and set up the grads cluster analysis among elements.

One of the drawbacks of the SOFM is that the user must select the map size in advance,especially the time-consuming search for the best matching unit in large maps,A new Growing Tree-Structured Self-Organizing Maps(GTS-SOFM) is proposed and the specific algorithm to implement clustering is given,by using cluster density to Measure Cluster Quality.

DCMIS:Density Clustering-based Application to Medical Image Segmentation;

To solve the problem that support vector machine(SVM) can only classify the small samples set,a new algorithm which applied SVM to density clustering is proposed.

Algorithms based on density clustering,which has the better effect to the spatial database,is one of the most important techniques in clustering analysis.

AADDM filters the noise /attack data in source dataset and generates a pure training dataset by a top-down density-based clustering method; builds a lightweight and efficient i

Application of Cluster Analysis in the Judgment of the Aluminum Electrolyzer's Status;

Water quality and cluster analysis of Huaihe River Basin in 2004;

Failure analysis of drill stem based on support vector machine and cluster analysis theory;