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Bewertung und Feedback des Lernenden für Cluster Analysis in Data Mining von University of Illinois at Urbana-Champaign

4.5
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393 Bewertungen

Über den Kurs

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications....

Top-Bewertungen

ES

17. Dez. 2018

This was my favorite course in the whole specialization. Everything is explained very concisely and clearly making the subject matter very easy to understand.

VB

6. Nov. 2019

Good course for understanding the Cluster Analysis & Algorithms, instructor is very experienced and well explained, thanks

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51 - 62 von 62 Bewertungen für Cluster Analysis in Data Mining

von Venuu M

11. Apr. 2019

The course helped me a lot. I loved this course

von Yogesh S M

27. Jan. 2017

Learnt More Here Than I Did At My College!!

von Red R

18. Jan. 2022

T​here are still unclear lessons

von PABLO P Q

21. Feb. 2019

Nice. Good Course

von aditya p

15. Feb. 2017

good course!

von prasanna k p

22. Nov. 2019

it will be very helpful for understanding if any examples given with dummy data for cluster evaluation

von Aden G

15. Okt. 2016

I am concerned about the last assignment of this course. And I cannot get any help from here.

von Su-hyun K

14. Sep. 2021

Test is important, but sometimes it's hard to find answer, kind guidance should be provided

von Chow K M

3. Apr. 2021

Okay as an introduction to key concepts. Lack of depth into the specific calculations.

von ALEXANDRE M B

11. Nov. 2017

My analysis is that the assessments do not match the depth of what is explained.

von Logan V

27. Juni 2020

needs examples

von MOGARAMPALLI S

19. Mai 2021

If I sealect an option in quiz it says either »√/× but not display correct option