LAMLKNN(A-Locally-Adaptive-Multi-Label-k-Nearest-Neighbor-Algorithm)

This is a implementation of the paper "A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm", which will be published in PAKDD'18. The code will be uploaded after I back to school ( Now it's winter vocation in China 🤣).

Now the program can be download. This is a extension of ML-kNN algorithm, and the implementation is based on the original ML-kNN algorithm.

I have also uploaded a java version of LAML-kNN approach, this version is based on Mulan Java library. You can copy the java file LAMLkNN.java into the file directory "\mulan\src\mulan\classifier\lazy" and run it in Java IDE. Related papers:

[1] A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm.

[2] M.-L. Zhang and Z.-H. Zhou. ML-kNN: A lazy learning approach to multi-label learning. Pattern Recognition, 2007, 40(7): 2038-2048.