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4 changes: 2 additions & 2 deletions dev/modules/clustering.html
Original file line number Diff line number Diff line change
Expand Up @@ -387,7 +387,7 @@ <h2>2.3.1. Overview of clustering methods<a class="headerlink" href="#overview-o
initializations of the centroids. One method to help address this issue is the
k-means++ initialization scheme, which has been implemented in scikit-learn
(use the <tt class="docutils literal"><span class="pre">init='kmeans++'</span></tt> parameter). This initializes the centroids to be
(generally) distant from each other, leading to provably better results than
(generally) distant from each other, leading to probably better results than
random initialization, as shown in the reference.</p>
<p>A parameter can be given to allow K-means to be run in parallel, called
<tt class="docutils literal"><span class="pre">n_jobs</span></tt>. Giving this parameter a positive value uses that many processors
Expand Down Expand Up @@ -1485,4 +1485,4 @@ <h4>2.3.9.4.2. Drawbacks<a class="headerlink" href="#id19" title="Permalink to t
customSearchControl.draw('cse', options); }, true);
</script>
</body>
</html>
</html>