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Coding language is matlab. data1.txt: 1.3176 0.4038 0.6993 1.1075 1.2756 0.3171 0.4501 1.6869 1.0430 0.8488 -0.0023 1.5801 0.7535 1.7682 1.0583 0.6217 -1.7506 0.6973 0.8115 0.6363
Coding language is matlab.
data1.txt:
1.3176 0.4038 0.6993 1.1075 1.2756 0.3171 0.4501 1.6869 1.0430 0.8488 -0.0023 1.5801 0.7535 1.7682 1.0583 0.6217 -1.7506 0.6973 0.8115 0.6363 1.3101 0.3271 -0.6730 -0.1493 1.2310 1.0217 -1.6158 -0.2869 -0.4722 -1.1441 -1.0566 -2.3071 -0.8104 -0.7145 -0.5279 -1.2050 -2.0602 -1.4762 -1.3223 0.0765 -1.3522 0.6634 -1.5091 -1.7226 0.4301 0.9179 0.8944 2.6210 1.5951 1.0616 0.4419 2.3274 -1.1605 -0.3108 -0.3817 1.1093 -1.3156 -0.6754 -2.1626 -1.2118 -1.2245 0.2366 0.0585 -0.2956 -0.3274 -0.5403 -0.0239 0.1897 -0.1652 -0.2499K-means Clustering Exercise 3.2 1. Write your own function to do k-means1. Comment the code to show important steps like initiation, steps in each iteration, and checking convergence condition For the dataset (data 1.txt) perform k means clustering with k-2, and initial guess for cluster centers as 0), ,D)) 2. K-means Clustering Exercise 3.2 1. Write your own function to do k-means1. Comment the code to show important steps like initiation, steps in each iteration, and checking convergence condition For the dataset (data 1.txt) perform k means clustering with k-2, and initial guess for cluster centers as 0), ,D)) 2
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