Clarification of 'Z' and 'U'

[scottfleming]

Just to clarify, is 'Z' the representations after SDAE but before fine tuning with DCC and 'U' is after fine tuning with DCC? Got a little confused because in the paper it appears that 'Y' is the representations after SDAE and 'Z' are the representations after fine-tuning...

[shahsohil]

NO. Both are the representation obtained after fine-tuning. 'Z' are the latent representation of auto-encoder. While 'U' are obtained as byproduct of application of robust loss in eq(3). 'U' more or less follows underlying topology and hence it is considered to be actual clustering representation (output).

[LemonPi]

@shahsohil I'm also confused about this. Is there an equation relating Z and U? The paper exclusively has equations involving Z, but the loss computation in the code only uses U

[shahsohil]

@LemonPi In the code 'Z' are denoted by 'enc' variable.
enc, dec = net(inputs_Var)

'enc' is used for the computation of 'U'.
loss2 = criterion2(enc, sampweights, pairweights, pairs, index, _sigma1, _sigma2, _lambda)