Path clusters = new Path(getOption(DefaultOptionCreator.CLUSTERS_IN_OPTION)); Path output = getOutputPath(); String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION); if (measureClass == null) { measureClass = SquaredEuclideanDistanceMeasure.class.getName(); double convergenceDelta = Double.parseDouble(getOption(DefaultOptionCreator.CONVERGENCE_DELTA_OPTION)); float fuzziness = Float.parseFloat(getOption(M_OPTION)); int maxIterations = Integer.parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION)); if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) { HadoopUtil.delete(getConf(), output); boolean emitMostLikely = Boolean.parseBoolean(getOption(DefaultOptionCreator.EMIT_MOST_LIKELY_OPTION)); double threshold = Double.parseDouble(getOption(DefaultOptionCreator.THRESHOLD_OPTION)); DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class); input, clusters, Integer.parseInt(getOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION)), measure); boolean runSequential = getOption(DefaultOptionCreator.METHOD_OPTION).equalsIgnoreCase( DefaultOptionCreator.SEQUENTIAL_METHOD); run(getConf(),
Path clusters = new Path(getOption(DefaultOptionCreator.CLUSTERS_IN_OPTION)); Path output = getOutputPath(); String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION); if (measureClass == null) { measureClass = SquaredEuclideanDistanceMeasure.class.getName(); double convergenceDelta = Double.parseDouble(getOption(DefaultOptionCreator.CONVERGENCE_DELTA_OPTION)); float fuzziness = Float.parseFloat(getOption(M_OPTION)); int maxIterations = Integer.parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION)); if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) { HadoopUtil.delete(getConf(), output); boolean emitMostLikely = Boolean.parseBoolean(getOption(DefaultOptionCreator.EMIT_MOST_LIKELY_OPTION)); double threshold = Double.parseDouble(getOption(DefaultOptionCreator.THRESHOLD_OPTION)); DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class); int numClusters = Integer.parseInt(getOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION)); seed = Long.parseLong(getOption(DefaultOptionCreator.RANDOM_SEED)); boolean runSequential = getOption(DefaultOptionCreator.METHOD_OPTION).equalsIgnoreCase( DefaultOptionCreator.SEQUENTIAL_METHOD);
Path clusters = new Path(getOption(DefaultOptionCreator.CLUSTERS_IN_OPTION)); Path output = getOutputPath(); String measureClass = getOption(DefaultOptionCreator.DISTANCE_MEASURE_OPTION); if (measureClass == null) { measureClass = SquaredEuclideanDistanceMeasure.class.getName(); double convergenceDelta = Double.parseDouble(getOption(DefaultOptionCreator.CONVERGENCE_DELTA_OPTION)); float fuzziness = Float.parseFloat(getOption(M_OPTION)); int maxIterations = Integer.parseInt(getOption(DefaultOptionCreator.MAX_ITERATIONS_OPTION)); if (hasOption(DefaultOptionCreator.OVERWRITE_OPTION)) { HadoopUtil.delete(getConf(), output); boolean emitMostLikely = Boolean.parseBoolean(getOption(DefaultOptionCreator.EMIT_MOST_LIKELY_OPTION)); double threshold = Double.parseDouble(getOption(DefaultOptionCreator.THRESHOLD_OPTION)); DistanceMeasure measure = ClassUtils.instantiateAs(measureClass, DistanceMeasure.class); int numClusters = Integer.parseInt(getOption(DefaultOptionCreator.NUM_CLUSTERS_OPTION)); seed = Long.parseLong(getOption(DefaultOptionCreator.RANDOM_SEED)); boolean runSequential = getOption(DefaultOptionCreator.METHOD_OPTION).equalsIgnoreCase( DefaultOptionCreator.SEQUENTIAL_METHOD);