The conversation between human and AI assistant.
How do I implement Locality-Sensitive Hashing with respect to Levenshtein distance?
Okay, that sounds interesting. But how do I decide the value of k and what similarity threshold to use?
The value of k and similarity threshold depends on the specific use case and dataset. Usually, you can experiment with different values of k and similarity threshold to find the one that works best for your use case. A good starting point for k is 3 or 4, and for similarity threshold is 0.5 or 0.6.