BAMIC

Description: BAMIC is a package for multi-instance clustering. This package includes the MATLAB implementation of BAMIC, which is designed to deal with unsupervised multi-label learning problems. It is particularly useful when real-world objects are represented under multi-instance setting while the labels of these objects are unknown.

References:  

• M.-L. Zhang and Z.-H. Zhou. Multi-instance clustering with applications to multi-instance prediction. Applied Intelligence, in press.

ATTN:        This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@nju.edu.cn).

Requirement: The package was developed with MATLAB.

ATTN2:       This package was developed by Mr. Min-Ling Zhang (zhangml@lamda.nju.edu.cn). For any problem concerning the code, please feel free to contact Mr. Zhang.

Download:   [code] (3Kb)