Closed gabrielparriaux closed 2 years ago
No, there is no cluster order and no cluster hierarchy when doing a double classification. That's why there is no dendrogram.
When doing a double classification with k=7
, you first do 7 clusters twice with different min_segment_size
and then cross them together to compute the best partitions of k=1, 2, 3, 4... cross-clusters. When you do a double classification with k=8, you do the same thing but this time with 8 clusters computed twice. So the clusters you will be crossing in the following steps will be different, so that's normal that the results will be different. I'm not sure to be very clear, but at the end of the following video I try to understand the double classification, this may be useful : https://www.youtube.com/watch?v=T9r8T5WZYHY
Unfortunately there is really no rule that I know of to get pertinent min_segment_size
values, I think it really depends on your corpus. I usually try sizes of 10, 15, 20...
Ok, thank you for your answers! I will look again at the video, but your explanation is very straightforward.
Hello,
I’m performing a double classification and have several questions considering the parameters.
Thank you for your help,
Gabriel