Select what you think is NOT correct (multiple options are possible): k hyperparameter in k-Means algorithm is set to a value where a further increase of it does not bring significant marginal gainsk hyperparameter in k-Means algorithm is chosen empirically with the "elbow method"k hyperparameter in k-Means algorithm is the average within-cluster distancek hyperparameter in k-Means algorithm is the minimur number of points in a neighbourhood PLEASE NOTE:ANSWER C (ALONE) IS NOT THE RIGHT ANSWER!

The k-Means algorithm is a popular clustering technique used in machine learning and data analysis.…

Answered: Select what you think is NOT correct…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Select what you think is NOT correct (multiple options are possible):

k hyperparameter in k-Means algorithm is set to a value where a further increase of it does not bring significant marginal gains
k hyperparameter in k-Means algorithm is chosen empirically with the "elbow method"
k hyperparameter in k-Means algorithm is the average within-cluster distance
k hyperparameter in k-Means algorithm is the minimur number of points in a neighbourhood

PLEASE NOTE:

ANSWER C (ALONE) IS NOT THE RIGHT ANSWER!

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