List of usage examples for org.apache.hadoop.mapreduce Reducer subclass-usage
From source file clustering.inverted_index.NormalizerReducer.java
/**
* Normalize the tf-idf result so that
* each vector has a norm of 1.
*
* @author edwardlol
* Created by edwardlol on 17-4-24.
From source file clustering.link_back.step1.JoinReducer.java
/**
* Join the simhash intermediate result and the mst result.
*
* @author edwardlol
* Created by edwardlol on 17-4-27.
*/
From source file clustering.link_back.step2.JoinReducer.java
/**
* Join the simhash intermediate result and the mst result.
*
* @author edwardlol
* Created by edwardlol on 17-4-27.
*/
From source file clustering.mst.ChildReducer.java
/**
* Reducer to calculate the local mst.
*
* @author edwardlol
* Created by edwardlol on 17-4-26.
*/
From source file clustering.mst.FinalReducer.java
/**
* Reducer to calculate the final mst.
*
* @author edwardlol
* Created by edwardlol on 17-4-27.
*/
From source file clustering.simhash.Step1Reducer.java
/**
* Group the comodities by their simhash.
*
* @author edwardlol
* Created by edwardlol on 17-4-21.
*/
From source file clustering.simhash.Step2Reducer.java
/**
* Take one comodity out of every group.
*
* @author edwardlol
* Created by edwardlol on 17-4-21.
*/
From source file clustering.similarity.ISimCombiner.java
/**
* Add up the similarity locally.
* The difference between this class and the reducer class is that
* this class outputs the "similarity", and the reducer class outputs
* the "distance", which equals 1 - similarity.
*
From source file clustering.similarity.ISimReducer.java
/**
* Reducer class for the last step of calculating
* distance matrix.
* Add up the column similarities for each vector pair.
*
* @author edwardlol
From source file clustering.similarity.PreReducer.java
/**
* Reducer class to calculate column similarities.
*
* @author edwardlol
* Created by edwardlol on 17-4-24.
*/