Some thoughts of principal component cluster analysis used in coal safety evaluation

Aimed at the defects of principal component cluster analysis, this paper puts forward two methods to improve it, and proves the new methods theoretically. The core distinctions between the new methods and similar methods lies in the new methods considered the influence of collinearity existed in cluster analysis, so that the new methods can reduce the error of classification model effectively. Besides that the new methods have abundant theoretical basis, and have general adaptation under similar complex classification problem. Empirical analysis shows that the improved principal component clustering analysis is valid.