Building a distributed K‐Means model for Weka using remote method invocation (RMI) feature of Java

Summary This work attempts to analyze the limits of Weka Data Miner in executing the Simple K‐Means algorithm and makes an attempt to identify how much data is too much data for the Weka Data Miner to execute the algorithm. This work is further based on developing a distributed processing model to o...

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Veröffentlicht in:	Concurrency and computation Jg. 31; H. 14
Hauptverfasser:	Sudarsan, V., Sugumar, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 25.07.2019
Schlagworte:	Algorithms Distance measurement Distributed processing distributed processing in K‐Means distributed processing in Weka distributed processing of Euclidean distance Euclidean geometry RMI call back server in Java
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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