Q. Use the k-mean clustering to solve the problem ? Itemsets ={2,4,10,2,3,20,30,11,25} and Suppose that k=2. With m1=2 and m2=4.
Solution:
Let
Cluster : k1=1 and k2=2
M1 | M2 | K1 | K2 |
2 | 4 | {2,3} | {4,10,11,12,20,25,30} |
Recalculate mean m1,m2 with items in k1 ={2,3} and k2= {4,10,11,12,20,25,30}
Therfore m1 =(2+3)/2 = 2.5 m2 =(4,10,11,12,20,25,30)/7 = 16
Now we have DistanceMean1 (2.5) ,DistanceMean2 (16)
M1 | M2 | K1 | K2 |
2 | 4 | {2,3} | {4,10,11,12,20,25,30} |
2.5 | 16 | {2,3,4} | {10,11,12,20,25,30} |
Recalculate mean m1,m2 with items in k1 ={2,3,4} and k2= {10,11,12,20,25,30}
Therfore m1 =(2+3+4)/3 = 3 m2 =(10+11+12+20+25+30)/6 = 18
Now we have DistanceMean1 (3) ,DistanceMean2 (18)
M1 | M2 | K1 | K2 |
2 | 4 | {2,3} | {4,10,11,12,20,25,30} |
2.5 | 16 | {2,3,4} | {10,11,12,20,25,30} |
3 | 18 | {2,3,4,10} | {11,12,20,25,30} |
Recalculate mean m1,m2 with items in k1 ={2,3,4,10} and k2= {11,12,20,25,30}
Therfore m1 =(2+3+4+10)/4 = 4.75 m2 =(11+12+20+25+30)/5 = 19.6
Now we have DistanceMean1 (4.75) ,DistanceMean2 (19.6)
M1 | M2 | K1 | K2 |
2 | 4 | {2,3} | {4,10,11,12,20,25,30} |
2.5 | 16 | {2,3,4} | {10,11,12,20,25,30} |
3 | 18 | {2,3,4,10} | {11,12,20,25,30} |
4.75 | 19.6 | {2,3,4,10,11,12} | {20,25,30} |
Recalculate mean m1,m2 with items in k1 ={2,3,4,10,11,12} and k2= {20,25,30}
Therfore m1 =(2+3+4+10+11+12)/6 = 7 m2 =(11+12+20+25+30)/3 = 25
Now we have DistanceMean1 (7) ,DistanceMean2 (25)
M1 | M2 | K1 | K2 |
2 | 4 | {2,3} | {4,10,11,12,20,25,30} |
2.5 | 16 | {2,3,4} | {10,11,12,20,25,30} |
3 | 18 | {2,3,4,10} | {11,12,20,25,30} |
4.75 | 19.6 | {2,3,4,10,11,12} | {20,25,30} |
7 | 25 | {2,3,4,10,11,12} | {20,25,30} |
Recalculate mean m1,m2 with items in k1 ={2,3,4,10,11,12} and k2= {20,25,30}
Therfore m1 =(2+3+4+10+11+12)/6 = 7 m2 =(11+12+20+25+30)/3 = 25
Now we have DistanceMean1 (7) ,DistanceMean2 (25)
Since we have same mean as previous iteration we stop here.
Thus k1 = {2,3,4,10,11,12} and k2 = {20,25,30}





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