<tr>
      <th>globalMaxK</th>
      <td><p>Maximum number of clusters considered for the final
clustering. Default is 6.</p></td>
    </tr>
    <tr>
      <th>B</th>
      <td><p>Number of iterations for consensus clustering. Default is 1000.</p></td>
    </tr>
    <tr>
      <th>C</th>
      <td><p>Maximum number of iterations for localised kernel k-means. Default
is 100.</p></td>
    </tr>
    <tr>
      <th>scale</th>
      <td><p>Boolean. If TRUE, each dataset is scaled such that each column
has zero m