Mark, I love your videos and many thanks for them! Regarding this video, the "married" field was a binary one and couldn't be used to our favour...so I guess it would have been better if the data collectors asked for a number like "married for x years", right?
Thank you! Yes, kmeans prefers continuous and standardized data. My example in this video works, but the algorithm is very biased when binary data is used
![Tableau LOD Expressions [Overview of Tableau Level of Detail Calculation]](http://i.ytimg.com/vi/IvZd1L9zWxo/mqdefault.jpg)
Fantastic. This video teaches us how to find the right inputs in the cluster model.
thrilling to see this video, its awesome! thx
Mark, I love your videos and many thanks for them! Regarding this video, the "married" field was a binary one and couldn't be used to our favour...so I guess it would have been better if the data collectors asked for a number like "married for x years", right?
Thank you! Yes, kmeans prefers continuous and standardized data. My example in this video works, but the algorithm is very biased when binary data is used
Great explanation and pace thank you
My university sent me here!
Thats why i cannot save the cluster previsouly! thx!
How do i get the data set for this tutorial
why i can't move cluster to dimension?