Introduction to Clustering | | Data Science in Minutes
We will look at the fundamental concept of clustering, different types of clustering methods, and their weaknesses. Clustering is an unsupervised learning te...
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About this video
We will look at the fundamental concept of clustering, different types of clustering methods, and their weaknesses. Clustering is an unsupervised learning technique that consists of grouping data points and creating partitions based on similarity. The ultimate goal is to find groups of similar objects.
You will learn:
- What is clustering?
- Types of clustering methods:
- Centroid-based clustering
- Connectivity-based clustering
- Distribution-based clustering
- Density-based clustering
- Clustering weaknesses
Table of Contents:
0:00 Introduction
0:40 What is Clustering
1:27 Centroid-based clustering
2:07 Connectivity-based clustering
2:55 Distribution-based clustering
3:33 Density-based clustering
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Video Information
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5:13
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Published
Mar 13, 2019
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This video is tagged with the following topics. Click any tag to explore more related content and discover similar videos:
#clustering #clustering methods #unsupervised learning #data points #Centroid based clustering #connectivity based clustering #distribution based clustering #density based clustering #nearest neighbors #hierarchy of clusters #normal distribution #probability #outliers #clusters
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