/ClusteringAlgorithms-DataMining

Primary LanguageJava

ClusteringAlgorithms-DataMining Project2

Step to run Project Components

Part-1: Running Clustering Algorithms

  1. Extract project2.jar from Project.zip to any location on your system.
  2. create data folder in same directory as project2.jar and add data files you want to run(ex cho.txt, iyer.txt)
  3. Give the following commands to run specific clustering algorithm
    1. KMeans java -cp project2.jar com.ub.cse601.project2.run.RunKMeans
    2. Hierarchical Clustering java -cp project2.jar com.ub.cse601.project2.run.RunHierarchialClustering
    3. DBScan java -cp project2.jar com.ub.cse601.project2.run.RunDBScan

Part-2: Running KMeans Map Reduce

  1. Follow steps 1 and 2 from part1.
  2. create two new folders input and centroids inside data folder created in above step.
  3. Give the following commands to run KMeans MR java -cp project2.jar com.ub.cse601.project2.run.RunKMeansMR
  4. Once MR Jobs are successful, Centroids folder contains inital centroid file used for MR(centroids_0.txt) as well as all intermediate centroid files used in each iteration of MR job(centroid_1.txt, centroid_2.txt, ....). The last centroid file generated is the final converged centroid file.
  5. Finally, output folder contains final output generated from MR jobs, which contains final centroids and their respective cluster data points assigned to.