Data Skeptic

Explainable K-Means

Mar 3, 2022

25:53

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Highlights

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Episode notes

Is Explainability a Hot Topic for Machine Learning?

01:34

Clustering - Is There Any Concern That the Decision Tree Couldn't Explain?

01:34

Having a Shorter Tree Depth

02:42

Introduction

2min

Is Explainability a Hot Topic for Machine Learning?

2min

Unsupervised Learning

3min

Why You Don't Want to Ask Too Many Questions to Clusters?

2min

Clustering - Is There Any Concern That the Decision Tree Couldn't Explain?

2min

Having a Shorter Tree Depth

3min

Machine Learning - Clear M L Is the Best Collaborative M L Tool

2min

Do You Want a Better Partition?

2min

How to Use a Small Penalty in Clustering?

4min

10.

How Does Yourogorithm Fare?

3min

11.

How Many Clusters Should I Have?

4min

In this episode, Kyle interviews Lucas Murtinho about the paper "Shallow decision treees for explainable k-means clustering" about the use of decision trees to help explain the clustering partitions.

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