Building a distributed K-Means model forWeka using remote method invocation (RMI) feature of Java

摘要

This work attempts to analyze the limits of Weka Data Miner in executing the Simple K-Meansalgorithm and makes an attempt to identify how much data is too much data for the WekaData Miner to execute the algorithm. This work is further based on developing a distributedprocessing model to offer a better solution in handling large datasets. The required features areimplemented using the RMI Call back Server. The Euclidean Distance measure is considered forcalculating the distance.