addOption(DefaultOptionCreator.distanceMeasureOption().create()); addOption(DefaultOptionCreator.clustersInOption() .withDescription("The input centroids, as Vectors. Must be a SequenceFile of Writable, Cluster/Canopy. " + "If k is also specified, then a random set of vectors will be selected" + " and written out to this path first") .create()); addOption(DefaultOptionCreator.numClustersOption() .withDescription("The k in k-Means. If specified, then a random selection of k Vectors will be chosen" + " as the Centroid and written to the clusters input path.").create()); addOption(DefaultOptionCreator.convergenceOption().create()); addOption(DefaultOptionCreator.maxIterationsOption().create()); addOption(DefaultOptionCreator.overwriteOption().create()); addOption(M_OPTION, M_OPTION, "coefficient normalization factor, must be greater than 1", true); addOption(DefaultOptionCreator.clusteringOption().create()); addOption(DefaultOptionCreator.emitMostLikelyOption().create()); addOption(DefaultOptionCreator.thresholdOption().create()); addOption(DefaultOptionCreator.methodOption().create());
addOption(DefaultOptionCreator.distanceMeasureOption().create()); addOption(DefaultOptionCreator.clustersInOption() .withDescription("The input centroids, as Vectors. Must be a SequenceFile of Writable, Cluster/Canopy. " + "If k is also specified, then a random set of vectors will be selected" + " and written out to this path first") .create()); addOption(DefaultOptionCreator.numClustersOption() .withDescription("The k in k-Means. If specified, then a random selection of k Vectors will be chosen" + " as the Centroid and written to the clusters input path.").create()); addOption(DefaultOptionCreator.convergenceOption().create()); addOption(DefaultOptionCreator.maxIterationsOption().create()); addOption(DefaultOptionCreator.overwriteOption().create()); addOption(M_OPTION, M_OPTION, "coefficient normalization factor, must be greater than 1", true); addOption(DefaultOptionCreator.clusteringOption().create()); addOption(DefaultOptionCreator.emitMostLikelyOption().create()); addOption(DefaultOptionCreator.thresholdOption().create()); addOption(DefaultOptionCreator.methodOption().create()); addOption(DefaultOptionCreator.useSetRandomSeedOption().create());
addOption(DefaultOptionCreator.distanceMeasureOption().create()); addOption(DefaultOptionCreator.clustersInOption() .withDescription("The input centroids, as Vectors. Must be a SequenceFile of Writable, Cluster/Canopy. " + "If k is also specified, then a random set of vectors will be selected" + " and written out to this path first") .create()); addOption(DefaultOptionCreator.numClustersOption() .withDescription("The k in k-Means. If specified, then a random selection of k Vectors will be chosen" + " as the Centroid and written to the clusters input path.").create()); addOption(DefaultOptionCreator.convergenceOption().create()); addOption(DefaultOptionCreator.maxIterationsOption().create()); addOption(DefaultOptionCreator.overwriteOption().create()); addOption(M_OPTION, M_OPTION, "coefficient normalization factor, must be greater than 1", true); addOption(DefaultOptionCreator.clusteringOption().create()); addOption(DefaultOptionCreator.emitMostLikelyOption().create()); addOption(DefaultOptionCreator.thresholdOption().create()); addOption(DefaultOptionCreator.methodOption().create()); addOption(DefaultOptionCreator.useSetRandomSeedOption().create());