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Learn Live - Introduction to clustering models by using R and tidymodels

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1.9K views Streamed 2 years ago

Full series information: https://aka.ms/learnlive-machine-lear... More info here: https://aka.ms/learnlive-machine-lear... Follow on Microsoft Learn:

Microsoft Learn Module: https://aka.ms/learnlive-20220923A

Get an introduction to clustering models. Clustering is the process of grouping objects with similar objects. --------------------- Learning objectives

…

...more

Learn Live - Introduction to clustering models by using R and tidymodels

Full series information: https://aka.ms/learnlive-machine-lear... More info here: https://aka.ms/learnlive-machine-lear... Follow on Microsoft Learn:

Microsoft Learn Module: https://aka.ms/learnlive-20220923A

Get an introduction to clustering models. Clustering is the process of grouping objects with similar objects. --------------------- Learning objectives

When to use clustering models
How to train and evaluate clustering models by using the tidymodels framework

--------------------- Chapters -------- 00:00 - Introduction 03:01 - Learning Objectives 03:54 - What is clustering? 05:24 - Preparing data with PCA 07:16 - Evaluating different types of clustering 07:42 - K-means clustering 12:56 - Within cluster sum of squares 15:51 - Demo: K-means clustering 28:08 - Hierarchical clustering 30:28 - Hierarchical clustering: agglomerative clustering 33:23 - Measures of dissimilarity between clusters 35:43 - Demo: K-means clustering vs hierarchical clustering 1:03:40 - Knowledge Check 1:12:53 - Summary and Conclusion --------------------- Presenters Carlotta Castelluccio Cloud advocate Microsoft

Twitter: / carlottacaste
LinkedIn: / carlotta-castelluccio

Jasleen Sondhi Aspiring Data Scientist, Microsoft Student Ambassador N/A

Twitter: / jasleen101010
LinkedIn: / jasleen-sondhi

Moderators Olanrewaju Oyinbooke Senior Cloud Advocate Microsoft

LinkedIn: / olanrewaju-oyinbooke
Twitter: / theoyinbooke

Introduction

0:00

Learning Objectives

3:01

What is clustering?

3:54

Preparing data with PCA

5:24

Transcript

Follow along using the transcript.

Microsoft Developer

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Learn Live - Introduction to clustering models by using R and tidymodels

Chapters View all

Introduction

Introduction

Introduction

Learning Objectives

Learning Objectives

Learning Objectives

What is clustering?

What is clustering?

What is clustering?

Preparing data with PCA

Preparing data with PCA

Preparing data with PCA

Evaluating different types of clustering

Evaluating different types of clustering

Evaluating different types of clustering

K-means clustering

K-means clustering

K-means clustering

Within cluster sum of squares

Within cluster sum of squares

Within cluster sum of squares

Demo: K-means clustering

Demo: K-means clustering

Demo: K-means clustering

Microsoft Developer

Learn Live - Introduction to clustering models by using R and tidymodels

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Chapters

Introduction

Introduction

Introduction

Learning Objectives

Learning Objectives

Learning Objectives

What is clustering?

What is clustering?

What is clustering?

Preparing data with PCA

Preparing data with PCA

Preparing data with PCA

Evaluating different types of clustering

Evaluating different types of clustering

Evaluating different types of clustering

K-means clustering

K-means clustering

K-means clustering

Within cluster sum of squares

Within cluster sum of squares

Within cluster sum of squares

Demo: K-means clustering

Demo: K-means clustering

Demo: K-means clustering

Hierarchical clustering

Hierarchical clustering

Hierarchical clustering

Hierarchical clustering: agglomerative clustering

Hierarchical clustering: agglomerative clustering

Hierarchical clustering: agglomerative clustering

Measures of dissimilarity between clusters

Measures of dissimilarity between clusters

Measures of dissimilarity between clusters

Demo: K-means clustering vs hierarchical clustering

Demo: K-means clustering vs hierarchical clustering

Demo: K-means clustering vs hierarchical clustering

Knowledge Check

Knowledge Check

Knowledge Check

Summary and Conclusion

Summary and Conclusion

Summary and Conclusion

Description

Chapters View all

Introduction

Introduction

Introduction

Learning Objectives

Learning Objectives

Learning Objectives

Chapters

Chapters