Hi Fabio<br>
This is Basilio from Rio de Janeiro<br>
Have you tried SVD in thsi matrix to see if you find any pattern?<br>
If you have matrices of Arrival , Scores ,etc...try single SVD of the 
tensors resulting . See Understanding  Complex Data Sets :Data Mining 
with Matrix Decomposition<u> </u>(Skillicorn Chapman Hall)<br>
 .<br>
Best regards<br>
Basilio<br><br><br><br>Hi Fabio<br>This is Basilio from Rio de Janeiro<br>Have you tried SVD in thsi matrix to see if you find any pattern?<br>If you have matrices of Arrival , scores ,...try single SVD of the tensors resulting . See Understanding  Complex Data Sets :Data Mining with Matrix Decomposition<u> </u>(Skillicorn Chapman Hall)<br>

 .<br>Best regards<br>Basilio<br><br><div class="gmail_quote">2012/7/25 Rigat, Fabio <span dir="ltr">&lt;<a href="mailto:[log in to unmask]" target="_blank"><a href="/cgi-bin/wa-jisc.exe?LOGON=A3%3Dind1207%26L%3DALLSTAT%26E%3Dquoted-printable%26P%3D2068319%26B%3D--14dae93411111ddcb804c5ad0824%26T%3Dtext%252Fhtml%3B%2520charset%3Dwindows-1252%26pending%3D" target="_parent" >[log in to unmask]</a></a>&gt;</span><br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">





<div style="font-size:14px;font-family:Calibri,sans-serif;word-wrap:break-word">
<div>Dear all,</div>
<div><br>
</div>
<div>Recommendations are welcome on published methods to address the following type of question:</div>
<div><br>
</div>
<div>A fixed set of athletes 1:N participate to 1:p distinct competitions. From the full N times p matrix of results (e.g. Arrival times, scores,…) an equivalent size matrix of ranks is calculated. </div>
<div>Column 1:p of this rank matrix lists a 1 for first classified and so forth up to N for the last athlete for each competition. </div>
<div>A sports commentator wishes to cluster this matrix so as to discriminate groups of athletes associated to a distinctive pattern of results.</div>
<div>For instance, some athletes may be more versed for endurance competitions and less so for short-distance fast competitions.</div>
<div>A priori, the number and nature of these patterns are unknown.</div>
<div><br>
</div>
<div>Best wishes</div>
<div><br>
</div>
<div> Fabio Rigat</div>
</div>

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</p></blockquote></div><br><br clear="all"><br>-- <br><p>Basilio de Bragança Pereira ,DIC and PhD(Imperial College), DL(COPPE) 
<br>*UFRJ-Federal University of Rio de Janeiro <br>*Titular Professor of  
Bioestatistics and of Applied Statistics <br>*FM-School of Medicine and 
COPPE-Posgraduate School of Engineering and <br>HUCFF-University Hospital 
Clementino Fraga Filho. </p>
<p>*Tel: 55 21 2562-7045/7047/2618/2558 <br><a href="http://www.po.ufrj.br/basilio/" target="_blank">www.po.ufrj.br/basilio/</a> </p>
<p>*MailAddress: <br>COPPE/UFRJ <br>Caixa Postal 68507 <br>CEP 21941-972 Rio de 
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