OBJECTIVE： To establish HPLC fingerprint of Nüjin pills， and to conduct cluster analysis and principal component analysis. METHODS： HPLC method was adopted. The determination was carried out on Agilent ZORBAX Eclipse Plus C18 column with mobile phase consisted of acetonitrile-0.2％ formic acid solution （gradient elution） at the flow rate of 1.0 mL/min. The detection wavelength was set at 270 nm， and column temperature was 30 ℃. The sample size was 10 μL. Using baicalin as reference， HPLC fingerprints of 10 batches of samples were determined. The similarity of 10 batches of samples was evaluated by TCM Chromatographic Fingerprint Similarity Evaluation System （2012 edition） to confirm common peak. Cluster analysis and principal component analysis were performed by using SPSS 22.0 software. RESULTS： There were 21 common peaks in HPLC chromatograms of 10 batches of samples， the similarity of which was all over 0.95， which indicated that in 10 batches of samples， the chemical composition was consistent， but the contents of these components were different. When euclidean distance was equal to 25，10 batches of sample were divided into two categories； S3 was included in the first category， and others were included in the second category. When euclidean distance was equal to 5， the second category could be divided into three sub-categories， one sub-category was S2， S4， S6 and S10； one sub-category was S5， S9； one sub-category was S1， S7， S8. Through the principal component analysis， the cumulative contribution rate of three main component factors was 90.642％， and comprehensive score of S3 was the highest with the best quality. CONCLUSIONS： Established HPLC fingerprint， the results of cluster analysis and principal component analysis can provide reference for quality evaluation of Nüjin pills.