/** * Returns an enumeration describing the available options.. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { Vector<Option> result = new Vector<Option>(); result.addElement(new Option( "\tminimum allowable standard deviation for normal density computation " + "\n\t(default 1e-6)", "M", 1, "-M <num>")); result.addElement(new Option("\tClusterer to wrap.\n" + "\t(default " + defaultClustererString() + ")", "W", 1, "-W <clusterer name>")); result.addAll(Collections.list(super.listOptions())); if ((m_wrappedClusterer != null) && (m_wrappedClusterer instanceof OptionHandler)) { result.addElement(new Option("", "", 0, "\nOptions specific to clusterer " + m_wrappedClusterer.getClass().getName() + ":")); result.addAll(Collections.list(((OptionHandler) m_wrappedClusterer) .listOptions())); } return result.elements(); }
/** * Returns an enumeration describing the available options.. * * @return an enumeration of all the available options. */ @Override public Enumeration<Option> listOptions() { Vector<Option> result = new Vector<Option>(); result.addElement(new Option( "\tminimum allowable standard deviation for normal density computation " + "\n\t(default 1e-6)", "M", 1, "-M <num>")); result.addElement(new Option("\tClusterer to wrap.\n" + "\t(default " + defaultClustererString() + ")", "W", 1, "-W <clusterer name>")); result.addAll(Collections.list(super.listOptions())); if ((m_wrappedClusterer != null) && (m_wrappedClusterer instanceof OptionHandler)) { result.addElement(new Option("", "", 0, "\nOptions specific to clusterer " + m_wrappedClusterer.getClass().getName() + ":")); result.addAll(Collections.list(((OptionHandler) m_wrappedClusterer) .listOptions())); } return result.elements(); }
wString = defaultClustererString();