Intersectional Leading Industry Based on Data Mining

With the rapid development of economy, our country’s status in the world is getting higher and higher. More people begin to pay attention to all aspects of China, among which culture plays an important role. The national culture is the most important, which represents the development of the whole nation. An important carrier of national culture is the pattern of national costume. Only by doing in-depth research on the patterns of national costumes, can contemporary scholars better inherit and carry forward our national culture. The premise of clothing pattern research is to classify the pattern effectively, and the key of classification is feature extraction. What kind of feature extraction algorithm to choose and how to improve to get better results are the problems discussed in this paper.