資源簡介
AP聚類,Matlab程序,內附有Demo,可清晰演示聚類過程。

代碼片段和文件信息
function?[idx?a?r?output]?=?affprop(s?options)
%AFFPROP?idenfities?exemplar?points?using?affinity?propogation
%
%?IDX?=?AFFPROP(S)
%???returns?IDX?a?m-vector?of?indices?such?that?idx(i)?is?the?index?to
%???the?exemplar?of?the?ith?point.?For?exemple?if?x?is?an?underlying?data
%???matrix?then?x(i:)?is?clustered?with?x(idx(i):)?and?x(idx(i))?is?the
%???exemplar.
%???S?is?a?m?x?m?similarity?matrix.?It?need?not?be?symmetric.?The?diagonal
%???indicates?a?prior?preference?that?point?s(ii)?is?an?examplar.?Points
%???with?higher?values?are?more?likely?to?be?choosen
%
%?IDX?=?AFFPROP(...OPTIONS)
%???options?is?a?structure?that?set?properties?for?the?search
%???????‘MaxIter‘?200...????maximum?number?of?iterative?refinements
%???????‘TolX‘????1e-6?...??termination?tolerance?for?norm?of?message?matrices
%???????‘StallIter‘?20?...??cumulative?number?of?generations?for?which
%?????????????????????????????IDX?does?not?change
%???????‘Dampening‘?.5???????dampening?factor?(or?1-learning?rate)
%???????‘OutputFcn‘[]????????function?called?each?iteration?with?message
%??????????????????????????????matrices?fun(ar)
%
%?[IDX?R?A?OUTPUT]?=?AFFRPOP(...)
%???????also?returns?the?message?matrices?R?and?A
%???????R?is?a?‘responsibility‘?matrix.?R(i:)?is?a?row?vector?of?message
%???????from?point?i?to?the?other?points?indicating?how?well?suited?point?k
%???????is?for?being?an?exemplar?for?point?i.?
%???????A?is?an?availability?matrix.?A(:k)?is?a
%???????column?vector?of?messages?from?point?k?to?the?other?points
%???????indicating?how?available?point?k?is?for?being?an?exemplar.?
%???????Availabilities?and?Responsibilities?are?added?together?to?determine
%???????exemplars.?The?value?k?that?maximizes?a(ik)?+?r(ik)?indicates?the
%???????examplar?for?point?i.?
%
%Example??-?requires?stats?toolbox?
%?M?=?[5?0;?0?5;?2.5?2.5];????????????%?true?centers
%?V?=?[1?.9;?.9?1];
%?L?=?chol(V);
%?idx?=?repmat(?1:3?50?1?);???????%?true?assignment
%?x?=?M(idx(:):)?+?randn(1502)*L;?%?data?points?with?noise
%?m?=?size(x1);????????????????????
%?di?=?1:(m+1):m*m;?????????????????%index?to?diagonal?elements
%?d????????=?-pdist(x?‘mah‘);??????%upper?triangle?similiarity
%?s????????=?squareform(d);?????????%squareform?
%?s(di)????=?min(d(:));
%?options.StallIter?=?10;
%?options.OutputFcn?=?@(ar)?affprop_plot(arx‘k.‘);
%?figure
%?ex???????=?affprop(s?options?);
%
%Example?-?for?example?that?doesn‘t?require?stats?toolbox?...
%?See?also?affprop_demo?
%
%Reference
%??Frey?and?Dueck?“Clustering?by?Passing?Messages?Between?Data?Points“
%??Science?2007?315:972-976
%?Copyright?2006?Mike?Boedigheimer
%?Amgen?Inc.
%?Department?of?Computational?Biology
%?mboedigh@amgen.com
m?=?size(s1);
defaultopt?=?struct(?‘MaxIter‘?200...
?????????????????????‘StallIter‘?20?...
?????????????????????‘FunValCheck‘‘off‘?...
?????????????????????‘Dampening‘?.5?...
?????????????????????‘OutputFcn‘[]);
??????????
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????6107??2007-07-04?11:07??affinity_propagation\affprop.m
?????文件????????1706??2007-07-09?21:34??affinity_propagation\affprop_demo.m
?????文件?????????923??2007-07-09?21:30??affinity_propagation\affprop_plot.m
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