4 Basic Types of Cluster Analysis used in Data Analytics

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Learn 4 basic types of cluster analysis and how to use them in data analytics and data science. This video reviews the basics of centroid clustering, density clustering, distribution clustering, and connectivity clustering.
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So much needed to get an overview of a high-level classification of clustering algorithms.

sayandey
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I am really thankful for your so great and understandable teaching about the topic. Also I appreciate your positive energy.
Wish the best for you Tessa.

armansh
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This is very underrated and this needs more attention also why'd you guys stop uploading ! :( We need more of this !

The_Alpha_Wolf
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I understood every single thing in this video. I don't think I can say that for any data science video I've ever seen.

kepstein
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Nicely I am clear about which method to use

satinderkaur
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Thank you! Best introduction by details/time spent.

meltbana
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Data Science wednesday... love it ha ha.. Thank you for the video.

stevenwilson
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Amazing tutorial, Thank you! I have one question: How would you know when to use what if you can't visualize data since it has multiple features? -> use pca to reduce dimensionality then plot and then use un-reduced data to train??

haneulkim
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Love that fleabag also teaches statistics ❤

wapsyed
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Amazon decoded, thanks for such clear and informative explanation. Your explanation is great in depth.👍

haadbajwa
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This is excellent, do you have video on use case of all four analytic?

stormofbrain
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A great example for explanation. Really liked the teaching method. Subscribed.

vineetjha
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I just fell in love for 8.52 min when Tessa is teaching.

pavitramandal
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Which one is suitable for high dimensional data?

sokopinions
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what are the exact names and tools for clustering methods in deep learning?

sajjaddehghani
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It's so awesome, so understandable and easy to learn.
I hope watch more and more lecture from you.
Tnxfull

ahmadsharifian
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Very informative👍....where does K-Means clustering belong?

Griffindor
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Thanks for this awesome explanation helped me in my DP100 Exam. Thanks from J&K India.

ssrakeshsharma
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It leaves me with more questions. These graphs must have some units or qualities for the axes. So you have two values, one for X and one for Y. How do you know (programmatically ) which cluster the point belongs to? You can't use the dendrogram (?, =tree?) because the clusters can be diagonal and a simple X or Y threshold won't work.

johnschindler
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so well explained. thank you, this video was really helpful!

jasminef
welcome to shbcf.ru