Chevron Left
Zurück zu Cluster Analysis in Data Mining

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

4.5
Sterne
394 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

Filtern nach:

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

von Venuu M

11. Apr. 2019

von Yogesh S M

27. Jan. 2017

von Red R

18. Jan. 2022

von PABLO P Q

21. Feb. 2019

von aditya p

15. Feb. 2017

von prasanna k p

22. Nov. 2019

von Aden G

15. Okt. 2016

von Su-hyun K

14. Sep. 2021

von Chow K M

3. Apr. 2021

von ALEXANDRE M B

11. Nov. 2017

von Logan V

27. Juni 2020

von MOGARAMPALLI S

19. Mai 2021