I need this man to be my teacher
Really helpful!
Thankyou this was helpful.
Thank you so much!
thanks a million
Hi Spencer !! Amazing video, thanks for sharing, may I ask you something? Can you do a Hierarchical Clustering using numeric and categorical variable? Example, I have the next data: product_name, price, brand, package and so on. I would really appreciate your help
Hi Spencer Pao, I have to use the Hierarchical allocation of carbon in plants to put values in the crop model, and for that purpose, I have biomass plant data to be allocated to different parts of the plant but I do not know How to do this because each part required its own flow. So do you have some idea about this Please share if there is anything with you.
Very helpful video, Spencer! I loved it! Congratulations and thank you very much! Well, I have 100 texts to cluster. 50 of them are from a magazine X and the others 50, from a magazine Y. We don't know who wrote them, because at the time they were written (beginning of the 20th century), people used to write under pseudonyms and used to write on both of these magazines. Each text were tagged (for pronuns, relative clauses, stances etc.) and each of these features were normalized to 1000. Two questions, if you dont mind: 1) which type of cluster is the best fit for this kind of data? K-means or HC? And regardless the kind of cluster to be chosen, should I scale my data as well? Even if each feature has been normalized to a frequency of a 1000 words? Thank you very much!
I have another query Spencer. In iris_data = iris(1:4) Here what is 1:4, can you please elaborate.
Hi spencer, would it be possible if you could help me with my Clustering? its for my thesis.
Hello, I have a larger set of data around 31192 observations and 13 variables, i want to do the K and HC analysis? Can ou please help me regarding this, I tired a lot but couldn't? Is it possible can you to give me your email?
Ni jao
@Za3DoRzX