It is known that a cluster consists of four picces of data, cach A (2,4), B (2, 2), C (4,1), and D (2,3). The center point (centroid) of the cluster is at the coordinates: [NOTE: PLEASE PROVIDE THE STEP FOR SOLVING THIS PROBLEM] a. (5,5) b. (3.3, 3.3) c. (10, 10) d. (2.5.2.5) 27. Consider the image of a simple artificial neural network below. If i is the input, b is the bias, w is the weight, and o is the output of the dataset (the label on the outer layer), then using the sigmoid activation function, and the error function = 1/2* (target-output)^2, then error on the first output and the second output are: [NOTE: PLEASE PROVIDE THE STEP FOR SOLVING THE PROBLEM] a. 0.56 and 0.45 b. 0.14 and 0.43 c. 0.274 and 0.023 d. 0.345 and 0.435