A method of feature selection based on pagerank
Feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. PageRank (or PR in short) is a mathematical algorithm that evaluates the quality and quantity of links to a webpage. MRMD2.0 uses the idea of pagerank, combined with some other feature selection methods,including
MRMD2.0 can reduce the dimension of user-specified feature intervals.The supported file formats are :
If you are not sure about the specific format of the data set,you can see it by clicking on the
We provide Web Server, you only need to provide the dataset to the WebServer to select the feature.Please click
for specific usage.