Description: k-means and k-Medoids clustering algorithm JAVA implementation. Document data read directly,suitable for two-dimensional data.
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Kmeans
......\.classpath
......\.project
......\.settings
......\.........\org.eclipse.core.resources.prefs
......\.........\org.eclipse.jdt.core.prefs
......\bin
......\...\com
......\...\...\kmean
......\...\...\kmeans
......\...\...\......\Cluster.class
......\...\...\......\data.txt
......\...\...\......\KMeans.class
......\...\...\......\Point.class
......\...\...\.....\two
......\...\...\.....\...\julei1.txt
......\...\...\.....\...\Kmean.class
......\...\...\.....\...\Point.class
......\...\...\kmedoids
......\...\...\........\Cluster.class
......\...\...\........\julei2.txt
......\...\...\........\KMedoids.class
......\...\...\........\Point.class
......\src
......\...\com
......\...\...\kmean
......\...\...\kmeans
......\...\...\......\Cluster.java
......\...\...\......\data.txt
......\...\...\......\KMeans.java
......\...\...\......\Point.java
......\...\...\.....\two
......\...\...\.....\...\julei1.txt
......\...\...\.....\...\Kmean.java
......\...\...\.....\...\Point.java
......\...\...\kmedoids
......\...\...\........\Cluster.java
......\...\...\........\julei2.txt
......\...\...\........\KMedoids.java
......\...\...\........\Point.java
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