  The booming vector manage system calls for feasible similarity hash function
as a front-end to perform similarity analysis. In this paper, we make a
systematical survey on the existent well-known similarity hash functions to
tease out the satisfied ones. We conclude that the similarity hash function
MinHash and Nilsimsa can be directly marshaled into the pipeline of similarity
analysis using vector manage system. After that, we make a brief and empirical
discussion on the performance, drawbacks of the these functions and highlight
MinHash, the variant of SimHash and feature hashing are the best for vector
management system for large-scale similarity analysis.
