The features of input and output of science and technology in the large-medium industrial enterprises are analyzed. The clustering indexes of the input and output of science and technology in the enterprises are determined by using a feature selection method. The clustering analysis method is applied to calculate and classify the input and output data of science and technology in the enterprises in various regions. The clustering result is analyzed to deduce the features of input and output of science and technology in all kinds of enterprises. The countermeasures to improve the input and output efficiency of science and technology in the enterprises are proposed on the basis of analyzing results.
['Dong-Mei Li', 'Bin Liu']
Clustering analysis of input and output of science and technology based on feature selection