Use K-mean clustering algorithm to classify the following data into 2 clusters. Individual 1 and 3 are the centroids of the initialize partitions. Students must use Manhattan distance for calculating the distance from Individual to centroids Calculation process (result in each step of K-mean) and formulars must be included in your answer! Individual Variable 1 Variable 2 Variable 3 1 1 3 1 1 1 2 4 1 3

Use K-mean clustering algorithm to classify the following data into 2 clusters. Individual 1 and 3 are the centroids of the initialize partitions. Students must use Manhattan distance for calculating the distance from Individual to centroids Calculation process (result in each step of K-mean) and formulars must be included in your answer! Individual Variable 1 Variable 2 Variable 3 1 1 3 1 1 1 2 4 1 3

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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The source code should be in .ipynb format
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