예제 #1
0
/**
 * Normalize array values on a per feature basis, so that each feature has uniform variance.
 */
function whiten(array $matrix)
{
    $sd = array();
    // transpose
    $columns = array_map(NULL, $matrix);
    foreach ($columns as $i => $col) {
        $sd[$i] = array_sd($col);
    }
    foreach ($matrix as $row => &$feats) {
        foreach ($feats as $i => &$feat) {
            $feat /= $sd[$row];
        }
    }
    return $matrix;
}
예제 #2
0
$list .= array_sd($allLenX) . ",<br />" . array_sd($allLenY);
$list .= '</td>' . PHP_EOL;
$list .= '<td>' . PHP_EOL;
$list .= array_sd($allRangeX) . ",<br />" . array_sd($allRangeY);
$list .= '</td>' . PHP_EOL;
$list .= '<td>' . PHP_EOL;
$list .= array_sd($allScrollX) . ",<br />" . array_sd($allScrollY);
$list .= '</td>' . PHP_EOL;
$list .= '<td>' . PHP_EOL;
$list .= array_sd($allEntryX) . ",<br />" . array_sd($allEntryY);
$list .= '</td>' . PHP_EOL;
$list .= '<td>' . PHP_EOL;
$list .= array_sd($allExitX) . ",<br />" . array_sd($allExitY);
$list .= '</td>' . PHP_EOL;
$list .= '<td>' . PHP_EOL;
$list .= array_sd($allCenX) . ",<br />" . array_sd($allCenY);
$list .= '</td>' . PHP_EOL;
$list .= '</tr>' . PHP_EOL;
echo $list;
?>
  </tbody>    
</table>

<div class="small">
  <p>
  Notes:
  </p>
  <ol class="ml pl">
    <li>First row is <abbr title="Sample Mean">&mu;</abbr>, while second row is <abbr title="Sample Standard Deviation">&sigma;</abbr>.</li>
    <li>Comma-separated values denote a column vector (X and Y components).</li>
  </ol>