Given an unlabeled dataset {x(1), ... , x(m)}. The K-mean algorithm has been run with 40 different random initializations, and 40 different clusterings of the data have been obtained. Describe how we should use lx) – µ̟0]² to choose the best m clustering.

Given an unlabeled dataset {x(1), ... , x(m)}. The K-mean algorithm has been run with 40 different random initializations, and 40 different clusterings of the data have been obtained. Describe how we should use lx) – µ̟0]² to choose the best m 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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Hash Table

A hash table also called a hash map, is a data structure that maps key-value pairs. The hash table can be used in complex systems to provide fast access and compact storage. A hash table is a structure that stores data in an abstract data type kind of associative array. It keeps data in an array format, with a distinct index value for every data value. If the index of the required data is known, then the data can be accessed very easily.

Question

Given an unlabeled dataset {x(1), ... , x(m)}. The K-mean algorithm has been run with
40 different random initializations, and 40 different clusterings of the data have been
obtained. Describe how we should use Ex(1) – µ01² to choose the best
m
clustering.

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