本文基于向量空间模型,提出了一种质谱谱库检索算法。该算法将质谱图数据向量化,并定义一个质量数向量空间,质谱图被表示成质量数空间内的一组向量,并利用向量间的相似性计算方法,实现质谱谱库的检索。并且,将(m/e)m.In作为权重进行质谱图相似性的计算,而不仅仅是(m/e)。通过试验,该算法的检索结果与NIST 05检索软件的检索结果一致。 Based on vector space model, this paper presents a spectral database retrieval algorithm. The algorithm quantizes the mass spectrum data and defines a vector space. The mass spectrum is represented as a set of vectors in the mass space, and the similarity between vectors is used to search the mass spectrum library. And, (m / e) m. In is used as the weight to calculate the similarity of spectra, not just (m / e). Through the experiment, the retrieval result of this algorithm is consistent with the retrieval result of NIST 05 retrieval software.