This is amazing, Thank you. very on point explanation. Question: Can it be in a dashboard as a Webapp? to get Live information from a cllient and decide to which cluster they belong to ?
At 16:45, when normalizing, why did you want to create a data frame instead of a matrix? Only for simplifying visualization purpose? Would the rest of calculation be different if you had done dataset
The best Kmeans example I've seen on UA-cam. The majority of practical videos uses Iris Dataset (which only as nominal variables). This one has nominal variables, boolean, nominal with nule values, etc. Keep up the good work!
Download here the Cluster Analysis script and the data for this project: data-heroes-2.ck.page/cluster_analysis
A very good mix of tech and stats without going too much into any of it. Very well done
This is amazing, Thank you. very on point explanation.
Question: Can it be in a dashboard as a Webapp? to get Live information from a cllient and decide to which cluster they belong to ?
@@DataHeroes I found one video doing exactly that:
ua-cam.com/video/EC53ftrYf9A/v-deo.html
Your video helped me a lot thank you tons
At 16:45, when normalizing, why did you want to create a data frame instead of a matrix?
Only for simplifying visualization purpose?
Would the rest of calculation be different if you had done
dataset
The best Kmeans example I've seen on UA-cam. The majority of practical videos uses Iris Dataset (which only as nominal variables). This one has nominal variables, boolean, nominal with nule values, etc. Keep up the good work!
Thank you a lot, very useful example. Can I know how can we choose the range of cutoff ( example is -0.35 and 0.35 )?
May I ask you which version of Rsudio are you using?
Hi there. Have you managed to run all the functions? mine crashed at the end (plotting)
Thanks a lot. Very well Explained.
Thanks!!
Why did you scale the dataset on 1:16?
So that all variables have similar weights during clustering