Categorical outcome (or discrete outcome or qualitative response) regression models are models for a discrete dependent variable recording in which of two or more categories an outcome of interest lies. For binary data (two categories) probit and logit models or semiparametric methods are used. For multinomial data (more than two categories) that are unordered, common models are multinomial and...

Categorical attributes are those that can take a discrete set of values, e.g., colours. This work is about compressing vectors over categorical to low-dimension vectors. The current hash-based methods do not provide any guarantee on the Hamming distances between compressed representations. Here we present FSketch create sketches for sparse data and an estimator estimate pairwise among uncompres...