K-means using R
Вставка
- Опубліковано 20 вер 2015
- Differentiating various species of flower 'Iris' using R.
This video has been inspired by another great video:
"How to Perform K-Means Clustering in R Statistical Computing"
• How to Perform K-Means...
Marvellous and most importantly, flawless
Perfect explanation. Thanks
clear explanations. thanks
Amazing!
Thax a lot!!!
great, thanks for video
MUITO BOM, GOSTEI DA EXPLICAÇÃO
Well explained. Helped me with my homework :P
Can I get the dataset and code for this example?
Thanks for the video. I am working to create a project about clustering to build my R coding portfolio. I wish to can find job as data analyst finally.
Good luck! :) Have fun with the project!
how did you do the working directoriy ? i dont know how to copy paste it in R
Perfekt!Thanks.Regards.
can you post cluster results as per sepal width and height?
Also, it's a bit hard to visualize the problem with four different variables, I mean this algo calculates the distance for clustering but say in actual scenario clustering only depends on petal width and length, How do we deal with those?
Am I wrong somewhere, please elaborate.
I really attracted by your sweet voice...and I searched for more videos...but I ...
Thanks for the video.Your explanation is very good.I would also like to listen from you on how to determine the number of clusters.Thank you
Hi, randomly .
@@drisstaoufiki9070 Thank you
Any useful source to learn DS.
The last statement "plot (iris).....", should it not be iris.features instead of just iris ?
"petal.length" and "petal.width" are iris dataset's features. So when I type
, I am in fact calling its features.
There is an easier way to do this. In R, rather than "." we use "$" to call columns of a dataframe. So I could have just typed the following to get the same result:
plot( iris$petal.length, iris$petal.width)
The second option looks better. Thanks
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Should start DS school in Pakistan.