Research on Model and Algorithm of Multiview and Multilabel Classification Based on Nearest-Neighbor Model

Algorithm 1

Pseudocode of label feature transformation.

	Input: training set .
	Output: dataset obtained after label feature transformation
	Classifying dataset into and for label ;
	Executing k-means clustering on and , and clustering into clusters according to formula (2);
	Execute formula (3) to construct a mapping function for each label
	Execute formula (4) to obtain the unique feature set of each label ;