<div dir="ltr"><div dir="rtl" style="text-align:left">ِDear Uri,</div><div style="text-align:left">Thanks. I just have a pairwise distance matrix and I want to implement it so that each cluster has at least 40 data points. (in Agglomerative).</div><div style="text-align:left">Does it work?</div><div style="text-align:left">Thanks,</div><div style="text-align:left">-Ariani</div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Jul 11, 2017 at 1:54 PM, Uri Goren <span dir="ltr"><<a href="mailto:uri@goren4u.com" target="_blank">uri@goren4u.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div style="font-family:"trebuchet ms",sans-serif;font-size:large;color:rgb(51,51,51)">Take a look at scipy's fcluster function.</div><div style="font-family:"trebuchet ms",sans-serif;font-size:large;color:rgb(51,51,51)">If M is a matrix of all of your feature vectors, this code snippet should work.</div><div style="font-family:"trebuchet ms",sans-serif;font-size:large;color:rgb(51,51,51)"><br></div><div style="font-family:"trebuchet ms",sans-serif;font-size:large;color:rgb(51,51,51)">You need to figure out what metric and algorithm work for you</div><div style="font-family:"trebuchet ms",sans-serif;font-size:large;color:rgb(51,51,51)"><br></div><div style="font-family:"trebuchet ms",sans-serif;font-size:large;color:rgb(51,51,51)"><div> from sklearn.metrics import pairwise_distance</div><div> from scipy.cluster import hierarchy</div><div> X = pairwise_distance(M, metric=metric)</div></div><div style="font-family:"trebuchet ms",sans-serif;font-size:large;color:rgb(51,51,51)"><div> Z = hierarchy.linkage(X, algo, metric=metric)</div><div> C = hierarchy.fcluster(Z,<wbr>threshold, criterion="distance")</div><div><br></div><div>Best,</div><div>Uri Goren</div></div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div class="h5">On Tue, Jul 11, 2017 at 7:42 PM, Ariani A <span dir="ltr"><<a href="mailto:b.noushin7@gmail.com" target="_blank">b.noushin7@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5"><div dir="ltr"><div><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">Hi all,</span></div><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">I want to perform agglomerative </span><span class="m_5244267253572868762m_8140801831629806246gmail-il" style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">clustering</span><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">, but I have no idea of </span><span class="m_5244267253572868762m_8140801831629806246gmail-il" style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">number</span><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px"> of </span><span class="m_5244267253572868762m_8140801831629806246gmail-il" style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">clusters</span><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px"> before hand. But I want that every </span><span class="m_5244267253572868762m_8140801831629806246gmail-il" style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">cluster</span><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px"> has at least 40 data points in it. How can I apply this to sklearn.agglomerative </span><span class="m_5244267253572868762m_8140801831629806246gmail-il" style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">clusteri<wbr>ng</span><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">? </span><div><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">Should I use dendrogram and cut it somehow? I have no idea how to relate dendrogram to this and cutting it out. Any help will be appreciated!</span></div><div><font color="#242729" face="Arial, Helvetica Neue, Helvetica, sans-serif"><span style="font-size:15px">I have to use agglomerative clustering!<br></span></font><div><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">Thanks,</span></div><div><span style="color:rgb(36,39,41);font-family:Arial,"Helvetica Neue",Helvetica,sans-serif;font-size:15px">-Ariani</span></div></div></div>
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<br></blockquote></div><span class="HOEnZb"><font color="#888888"><br><br clear="all"><div><br></div>-- <br><div class="m_5244267253572868762gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div><span style="color:rgb(102,102,102)"><font size="2"><span style="font-family:verdana,sans-serif"><i>Uri Goren,<br>Software innovator<br></i></span></font></span></div><span style="color:rgb(102,102,102)"><font size="2"><span style="font-family:verdana,sans-serif"><i>Phone: +972-507-649-650<br></i></span></font></span></div><div><span style="color:rgb(102,102,102)"><font size="2"><span style="font-family:verdana,sans-serif"><i>EMail: <a href="mailto:uri@goren4u.com" target="_blank">uri@goren4u.com</a><br></i></span></font></span></div><span style="color:rgb(102,102,102)"><font size="2"><span style="font-family:verdana,sans-serif"><i>Linkedin: <a href="http://il.linkedin.com/in/ugoren/" title="View public profile" name="m_5244267253572868762_UNIQUE_ID_SafeHtmlFilter_webProfileURL" target="_blank">il.linkedin.com/in/ugoren/</a></i></span></font></span></div></div>
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