Finding well-defined clusters in data represents a fundamental challenge for many data-driven applications, and largely depends on good representation. Drawing literature regarding representation learning, studies suggest that one key characteristic of latent representations is the ability to produce semantically mixed outputs when decoding linear interpolations two representations. We propose ...