Most existing semi-supervised clustering algorithms with pairwise constraints neither solve the problem of violation of pairwise constraints effectively,nor handle the high-dimensional data simultaneously.

Semi-supervised clustering algorithms use a small amount of supervision information in the form of labeled data or pairwise constraints to improve clustering performance.

It firstly takes advantage of the given pairwise instance-level constraint sets during initialization to guide the clustering of other video shots and associate each cluster of different dimensions with a weighting vector.

This paper discusses the technology of reasoning based on case of coupling neural network,the typical implemetation framework of reasoning based on case,the cases indexing modelbased on obligatory object and the three levels organization of example.

So,a new approach for the knowledge representation of product family model based on constrained object is proposed.

The paper gives a knowledge representation model of switch operation on high-level concept, and then proposes a simulation technique of switch operation based on satisfaction of constrained object state mapping and equipment restraint rules.

By establishing binary symmetric constraints, two constrained flows of the hierarchy are presented, which are then reduced to Hamiltonian systems.

In this paper, by means of symmetric constraint, a new integrable system is obtained, and the ralation between the system and the following eigenvalue problem is discussed.

By establishing binary symmetric constraints,two constrained flows of the hierarchy are presented and reduced to Hamiltonian system.