When we consider clustering techniques, which of the following apply: (select ALL answers that are correct, there may be more than 1) ☐ The k-means++ algorithm chooses only one of the centroids completely randomly ☐ The optimal value of k is selected based on the highest observed accuracy The goal in k-means is to minimize variance within clusters We cluster using the training data and then validate the clusters with the testing data We must have a target variable in the data that specifies the cluster labels The k-means (or k-means++) algorithm selects the optimal value of k when it performs clustering

When we consider clustering techniques, which of the following apply: (select ALL answers that are correct, there may be more than 1) ☐ The k-means++ algorithm chooses only one of the centroids completely randomly ☐ The optimal value of k is selected based on the highest observed accuracy The goal in k-means is to minimize variance within clusters We cluster using the training data and then validate the clusters with the testing data We must have a target variable in the data that specifies the cluster labels The k-means (or k-means++) algorithm selects the optimal value of k when it performs clustering

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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