><label><input type="radio" name="q10" value="1"> b) It quantifies the distance between the data matrix and the matrix formed by cluster centroids</label></li>
                <li><label><input type="radio" name="q10" value="2"> c) It is used to normalize data points before clustering</label></li>
                <li><label><input type="radio" name="q10" value="3"> d) It measures the likelihood of data points belonging to a cluster</label></li>
            </ul>
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