Question: Given 4 training samples grouped into 2 classes (blue squares and red circles as shown in Figure 1). Two labels are used: B for samples from the blue squares class and R for samples from the red circles class. X₂ 9 m H 4 5 6 7 8 9 10 11 12 Figure 1 1. What is the dimension of the feature space shown in Figure 1? X₁ 2. Compute the Euclidean Distance between the two brown samples (enter a number with only 1 decimal, e.g. 0.4) 2.1.1-NN (i.e., K = 1)? (enter a number here) 2. Assume that the K-NN classifier is used with the Euclidean distance. What will be the predicted label (B or R) of the test sample indicated by the green cross (X) using: 2.3.3-NN (i.e., k = 3)?
Question: Given 4 training samples grouped into 2 classes (blue squares and red circles as shown in Figure 1). Two labels are used: B for samples from the blue squares class and R for samples from the red circles class. X₂ 9 m H 4 5 6 7 8 9 10 11 12 Figure 1 1. What is the dimension of the feature space shown in Figure 1? X₁ 2. Compute the Euclidean Distance between the two brown samples (enter a number with only 1 decimal, e.g. 0.4) 2.1.1-NN (i.e., K = 1)? (enter a number here) 2. Assume that the K-NN classifier is used with the Euclidean distance. What will be the predicted label (B or R) of the test sample indicated by the green cross (X) using: 2.3.3-NN (i.e., k = 3)?
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter3: Functions And Graphs
Section3.3: Lines
Problem 74E
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