Low dimensional successive projection pursuit cluster (LDSPPC) model comprehensive evaluation method, device and application

The invention discloses a low dimensional successive projection pursuit cluster (LDSPPC) model comprehensive evaluation method, device and application. The method comprises a step of carrying out normalized preprocessing on sample data of multiple candidate objects, and constructing a one-dimensional projection pursuit cluster model with 2 to 4 mutually orthogonal projection vectors for the candidate objects, and a step of carrying out projection pursuit cluster model vector synthesis of all dimensions of the multiple candidate objects to form a comprehensive projection pursuit cluster model, and obtaining an evaluation index importance ranking list and a candidate object quality ranking list. The swarm search intelligent algorithm of the invention has the characteristics of a fast convergence speed, convergence to a globally optimal solution and high reliability, the vector synthesis of multiple successive projection pursuit vectors is carried out, the quality of the candidate objects can be quickly evaluate