Principal Component Analysis of the Water Quality Evaluation in East Lake
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Abstract
The traditional principal component analysis was improved from the three aspects such as lineal transform of negative index, logarithmic treatment of original index and choosing the evaluation index. Then it was applied to the water pollution evaluation in East Lake. Comparing with the traditional methods, it could hold more information of the original index matrix and had much higher contributing rate of the first principal component. The whole process was accomplished by the computer and created a water pollution map.
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