Installation Errors

[AshutoshMishra44]

ant -f C:\Users\336943\Documents\NetBeansProjects\Clustering -Dnb.internal.action.name=build jar init: Deleting: C:\Users\336943\Documents\NetBeansProjects\Clustering\build\built-jar.properties deps-jar: Updating property file: C:\Users\336943\Documents\NetBeansProjects\Clustering\build\built-jar.properties Compiling 1 source file to C:\Users\336943\Documents\NetBeansProjects\Clustering\build\classes C:\Users\336943\Documents\NetBeansProjects\Clustering\src\tutorial\clustering\SameSizeKMeansAlgorithm.java:111: error: method chooseInitialMeans in interface KMeansInitialization<V#2> cannot be applied to given types; means = initializer.chooseInitialMeans(database, relation, k, getDistanceFunction()); required: Database,Relation,int,NumberVectorDistanceFunction<? super T>,Factory found: Database,Relation<V#1>,int,NumberVectorDistanceFunction<CAP#2> reason: cannot infer type-variable(s) T,O (actual and formal argument lists differ in length) where T,O,V#1,V#2 are type-variables: T extends CAP#1 declared in method <T,O>chooseInitialMeans(Database,Relation,int,NumberVectorDistanceFunction<? super T>,Factory) O extends NumberVector declared in method <T,O>chooseInitialMeans(Database,Relation,int,NumberVectorDistanceFunction<? super T>,Factory) V#1 extends NumberVector declared in class SameSizeKMeansAlgorithm V#2 extends NumberVector declared in interface KMeansInitialization where CAP#1,CAP#2 are fresh type-variables: CAP#1 extends NumberVector super: V#1 from capture of ? super V#1 CAP#2 extends Object super: V#1 from capture of ? super V#1 C:\Users\336943\Documents\NetBeansProjects\Clustering\src\tutorial\clustering\SameSizeKMeansAlgorithm.java:123: error: incompatible types: double[][] cannot be converted to List<? extends NumberVector> means = means(clusters, means, relation); C:\Users\336943\Documents\NetBeansProjects\Clustering\src\tutorial\clustering\SameSizeKMeansAlgorithm.java:130: error: incompatible types: double[] cannot be converted to Vector result.addToplevelCluster(new Cluster<>(clusters.get(i), new MeanModel(means[i]))); C:\Users\336943\Documents\NetBeansProjects\Clustering\src\tutorial\clustering\SameSizeKMeansAlgorithm.java:151: error: cannot find symbol final double d = c.dists[i] = df.distance(fv, DoubleVector.wrap(means[i])); symbol: method wrap(double[]) location: class DoubleVector C:\Users\336943\Documents\NetBeansProjects\Clustering\src\tutorial\clustering\SameSizeKMeansAlgorithm.java:237: error: cannot find symbol c.dists[i] = df.distance(fv, DoubleVector.wrap(means[i])); symbol: method wrap(double[]) location: class DoubleVector C:\Users\336943\Documents\NetBeansProjects\Clustering\src\tutorial\clustering\SameSizeKMeansAlgorithm.java:340: error: incompatible types: double[][] cannot be converted to List<? extends NumberVector> means = means(clusters, means, relation); Note: Some messages have been simplified; recompile with -Xdiags:verbose to get full output 6 errors C:\Users\336943\Documents\NetBeansProjects\Clustering\nbproject\build-impl.xml:930: The following error occurred while executing this line: C:\Users\336943\Documents\NetBeansProjects\Clustering\nbproject\build-impl.xml:270: Compile failed; see the compiler error output for details. BUILD FAILED (total time: 1 second)

[AshutoshMishra44]

Please help me out in this regard

[kno10]

There appears to be some error in your code, but we cannot help you there: this is local on your computer. Maybe you are mixing code of two different versions. Please try a clean github checkout with eclipse. People have had problems with netbeans.