Question
At the end of the first iteration, the K-means clustering algorithm has clustered the given 8 observations into the following 3 clusters: C1= {(4,
At the end of the first iteration, the K-means clustering algorithm has clustered the given 8 observations into the following 3 clusters: C1= {(4, 4), (5,5), (9,9)} C2 = {(0,5), (5,0), (3,0)} C3= {(8,8), (7,7)} (a) In the second iteration, what will be the L distance for observation (8,8) from the centroid of the cluster C1? (Note: The L distance between two points (x1, y) and (x2, y2) is defined as d = |x2x + y2 - y)
Step by Step Solution
There are 3 Steps involved in it
Step: 1
To calculate the L1 distance also known as Manhattan distance for observation 88 from the ...Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get StartedRecommended Textbook for
Elementary Statistics
Authors: Robert R. Johnson, Patricia J. Kuby
11th Edition
978-053873350, 9781133169321, 538733500, 1133169325, 978-0538733502
Students also viewed these Programming questions
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
Question
Answered: 1 week ago
View Answer in SolutionInn App