The invention provides a stellar classification spectrum outlier data excavation method based on fuzzy large margin and minimal ball classification. The method comprises steps of firstly selecting a training sample set; then constructing a model based on the fuzzy large margin and minimal ball classification; defining a decision function; and at last carrying out classification judgment on the test sample set by use of the decision function. In the model, by introducing the fuzzy technology, it is ensured that samples are dealt with in different manners, so effects on classification results imposed by noise points and singular points can be reduced. According to the invention, the model is quite sensitive to outlier points, so disadvantages of existing classification methods in the aspect of particular celestial body finding are overcome to some extent, and a new idea is provided for research of the particular celestial body finding.