%?Demo?for?the?kmeans?algorithm

%?First?generate?sample?data
%???We?will?test?with?4?clusters?in?3?dimensions
%???by?generating?random?data?with?gaussian?density?variance?1
%???with?means?（000）?（006）?（060）?and?（600）
%???and?Ndata??200???????300???100?????and?500

K?=?4;
dim?=?3;
variance?=?1;
sdev?=?sqrt（variance）;

cluster1?=?sdev*randn（200dim）?+?kron（ones（2001）[000]）;
cluster2?=?sdev*randn（300dim）?+?kron（ones（3001）[006]）;
cluster3?=?sdev*randn（100dim）?+?kron（ones（1001）[060]）;
cluster4?=?sdev*randn（500dim）?+?kron（ones（5001）[600]）;

%?Build?data?matrix
X?=?[cluster1?;?cluster2?;?cluster3;?cluster4];

%?Now?apply?K-means?algorithm
%?Note?that?order?of?results?may?vary
maxerr?=?0;
[proto?Nproto]?=?simple_kmeans（XKmaxerr）

?屬性????????????大小?????日期????時間???名稱
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?????文件???????2343??2011-04-22?15:25??fuzzykmeans.m

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?????????????????2343????????????????????1