完成了初始化的代码

Signed-off-by: facat@lab.com <facat@lab.com>

main.m

@@ -3,34 +3,49 @@ clear
 close all
 %先形成初始点
 center=[1,1,1,1,1;10,10,10,10,10;100,100,100,100,100;1000,1000,1000,1000,1000];
-dataN=100;% 生成多少个数据
+center=[1;10;100;1000];
-data=zeros(5,dataN);
+dataN=50;% 生成多少个数据
+Dim=1;
+data=zeros(Dim,dataN);
 for I=1:dataN
-    i=round(1+(5-1)*rand());
+    i=round(1+(4-1)*rand());
-    data(:,I)=center(i)*( -1+(1+1)*rand(5,1));
+    data(:,I)=center(i)*( -1+(1+1)*rand(Dim,1));
 end
 
-%选一个候选数据
+
-cddtI=10;
+SetS=[1;];
-SetS=[];
+
-SetS=[SetS;cddtI;];
+for clusterI=1:3
-Cij=0;
+    maxG=-100*ones(dataN,1);
-for I=1:dataN
+    for cluster=1:dataN
-    if I==cddtI
+        if sum(ismember(cluster,SetS))>0
             continue
         end
-    d=data(:,I);
+        %选一个候选数据
+        cddtI=cluster;
+        cadSetS=[SetS;cddtI;];
+        Cij=0;
+        for J=1:dataN
+            if sum(ismember(J,cadSetS))>0
+                continue
+            end
+            d=data(:,J);
             %寻找最短距离
             minD=1e20;
-    for J=1:length(SetS)
+            for D=1:length(SetS)%between j and the closest object in S.
-        if I==SetS(J)
+%                 if J==cadSetS(D)
-            continue
+%                     continue
-        end
+%                 end
-        distance=sum((d-data(:,SetS(J))).^2).^.5;
+                distance=sum((d-data(:,SetS(D))).^2).^.5;
                 if distance<minD
                     minD=distance;
                 end
             end
             distanceIJ=sum((d-data(:,cddtI)).^2).^.5;
-    Cij=Cij+max([minD-distanceIJ,0])
+            Cij=Cij+max([minD-distanceIJ,0]);
+        end
+        maxG(cluster)=Cij;
+    end
+    maxGInd=find(maxG==max(maxG));
+    SetS=[SetS;maxGInd(1)];
 end