Ich am working with a 1440x50 data set --> so i have 50 examples with 1440 timesteps. When I cluster it wit the Neural net clustering app, I always get one cluster, which contains many samples and then a lot of lone examples in different clusters.
I rather expected, to get like 4 samples in cluster 1, in the other one 5, in the other one 2.. and so on.
When I do 10 x 10 Layers on 50 examples... i have on cluster with 14 examples... and all others are spreaded around lonely. When I cluster the "lonely" ones again, I have the same behaviour. That the net clusters 7 samples together and the other ones lonely again.
Can somebody help me.. that I can get with one Clustering net ... more and better filled clusters?