Taking the real Zu Yeqing tea produced in Leshan, the inferior Zu Yeqing tea and the Maofeng tea produced in Emei Mountain as the research objects, a classification algorithm for different kinds of tea based on near infrared spectroscopy is put forward. The algorithm uses Multiplicative Scatter Correction (MSC) to preprocess the near infrared spectral data of the above three kinds of tea for removing the random variation in the spectral data maximally. Then, it uses Principal Component Analysis (PCA) to reduce the dimensionality of the spectral data for removing redundant. Next, it carries out Linear Discriminant Analysis (LDA) for further feature extraction. Finally, it uses the K_Nearest Neighbor algorithm to classify the first features in the LDA result so as to realize the qualitative tea classification. The experimental results show that this algorithm can classify the above three kinds of tea effectively. Its correct recognition rate is up to 100%. This study provides a new idea for the classification of tea.