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Jiaji Qiu's Projects

2048 icon 2048

A small clone of 1024 (https://play.google.com/store/apps/details?id=com.veewo.a1024)

kernel-density-peaks icon kernel-density-peaks

We develop the clustering approach by fast-search-and-find of density peaks which use the kernel function for mapping the input sample objects to the high dimensional feature space and amplifying the original sample objects’ characteristics, thereby researching the local density of the object attribute based on similarity measure. In order to identify our method’s effectiveness, we compare our method to other popular clustering algorithms. From the result analysis, we could conclude that our method have a better result.

rvm-matlab icon rvm-matlab

MATLAB code for Relevance Vector Machine using SB2_Release_200.

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