Background: The heart of their fast clustering features can bring great convenience for subsequent statistical analysis and research system clustering method is variable according to the sample or the nature of the closeness of the similarity of a multivariate statistical classification. methods Objective: proposed using principal component analysis of a clustering method to describe the shape of cardiac morphology and classification of the indicators Chinese healthy adult heart X-ray measurement of comprehensive evaluation methods: collected 36 cases of healthy adult person s chest and measuring MxLiteView software manual chest represents the heart of each piece of morphological shape commonly used 10 indicators to measure using Matlab software principal component analysis and principal components of the extracted clustering results aND CONCLUSION: after principal component analysis to extract the three main components of the variables, the 36 cases with samples extracted principal co

matlab代写、matlab代做、matlab有偿编程.pdf
Matlab程序实现心脏形态学形状主成分的聚类分析.pdf

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