Question: Each einmal-by3 image is sented by contre vects shown (0.3.0.7) (0,0,0.8) (0.7.1.01 (0.40.5) (1,0,0.7) (0,0,0.5) (0.8.0.5) (0.6,0.2) (0.7,0.3) Apply the means string with other to

 Each einmal-by3 image is sented by contre vects shown (0.3.0.7) (0,0,0.8)
(0.7.1.01 (0.40.5) (1,0,0.7) (0,0,0.5) (0.8.0.5) (0.6,0.2) (0.7,0.3) Apply the means string with
other to the (0.1.0.3).(02,0.9).(0.3,0.1), the regionlabels asociated with the team clustered with

Each einmal-by3 image is sented by contre vects shown (0.3.0.7) (0,0,0.8) (0.7.1.01 (0.40.5) (1,0,0.7) (0,0,0.5) (0.8.0.5) (0.6,0.2) (0.7,0.3) Apply the means string with other to the (0.1.0.3).(02,0.9).(0.3,0.1), the regionlabels asociated with the team clustered with the won the ANSWER Regional TI Each pixel in a small 3-by-3 image is represented by 2-dimensional feature vector, as shown below: (0.3, 0.7) (0.0, 0.8) (0.7, 1.0) (0.4, 0.5) (1.0,0.7) (0,0,0.5) L (0.8,0.5) (0.6,0.2) (0.7.0.3)] Apply the k-means clustering algorithm to this image in order to assign pixels into 3 regions. Assume that (i) the method used to asse (0.1,0.8), (0.2,0.9).(0.3, 0.1). (iii) the regions labels associated with these cluster centres are consecutive increasing integer value cluster associated with the lowest region label. ANSWER: Region labels used to assess similarity is the sum of absolute differences (SAD). () the cluster centres are initially assigned the following us g integer values starting from a value of 1. (iv) if more than one cluster centre is equally the most similar to the same pred the pet is gedure Each einmal-by3 image is sented by contre vects shown (0.3.0.7) (0,0,0.8) (0.7.1.01 (0.40.5) (1,0,0.7) (0,0,0.5) (0.8.0.5) (0.6,0.2) (0.7,0.3) Apply the means string with other to the (0.1.0.3).(02,0.9).(0.3,0.1), the regionlabels asociated with the team clustered with the won the ANSWER Regional TI Each pixel in a small 3-by-3 image is represented by 2-dimensional feature vector, as shown below: (0.3, 0.7) (0.0, 0.8) (0.7, 1.0) (0.4, 0.5) (1.0,0.7) (0,0,0.5) L (0.8,0.5) (0.6,0.2) (0.7.0.3)] Apply the k-means clustering algorithm to this image in order to assign pixels into 3 regions. Assume that (i) the method used to asse (0.1,0.8), (0.2,0.9).(0.3, 0.1). (iii) the regions labels associated with these cluster centres are consecutive increasing integer value cluster associated with the lowest region label. ANSWER: Region labels used to assess similarity is the sum of absolute differences (SAD). () the cluster centres are initially assigned the following us g integer values starting from a value of 1. (iv) if more than one cluster centre is equally the most similar to the same pred the pet is gedure

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