Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg2"><tr><td> </td><td>Input: Labelled data array L and unlabelled data array U</td></tr><tr><td> </td><td>Output: Label array LS</td></tr><tr><td>(1)</td><td>Combine L and U into a new array LU</td></tr><tr><td>(2)</td><td>Calculate the centroid of each cluster, appending them into a set C.</td></tr><tr><td>(3)</td><td>Set the loop Flag←Changed</td></tr><tr><td>(4)</td><td>While Flag ≡ Changed do:</td></tr><tr><td>(5)</td><td>  Flag ← Unchanged.</td></tr><tr><td>(6)</td><td>  For lu ∈ LU:</td></tr><tr><td>(7)</td><td>  Calculate the distance of lu and Ci as Di.</td></tr><tr><td>(8)</td><td>  Put Di in the array D.</td></tr><tr><td>(9)</td><td>  Get the minimum of D, record the label as Lc.</td></tr><tr><td>(10)</td><td>  If lu ≡ Lc Then:</td></tr><tr><td>(11)</td><td>   Change the lu label.</td></tr><tr><td>(12)</td><td>   Flag ← Changed.</td></tr><tr><td>(13)</td><td>  End if</td></tr><tr><td>(14)</td><td> End for</td></tr><tr><td>(15)</td><td>End while</td></tr></table></td></tr></table>

<div> Semisupervised K-means label propagation.</div>

Discrete Dynamics in Nature and Society

alg2

Algorithm 2

Algorithm 2: Analysis and Identification of Students with Financial Difficulties: A Behavioural Feature Perspective 