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DM_courseProject

Details of this task please refer to "./Reports" directory for more detailed reports

Data mining cource experiment of NWPU

2.5

We implemented a simple Bayes and Knn classifier to do classification based on the data set provided

Bayes provided two ways of prediction, one is using laplace correcting and the other is not

Knn algorithm can choose the value "k" manually

We encode the different attribute with integers and calculate distance with Euclid Distance

2.6

PageRank Algorithm on randomly generated graph

Graph example:

EcmNi4.png

Ecm6oD.png