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As I said, it has been a long time! I have dim memories of using random k basis vectors to convert high dimensionality feature vectors to k dimensions, and doi
by gpderetta 4y ago
As I said, it has been a long time!
I have dim memories of using random k basis vectors to convert high dimensionality feature vectors to k dimensions, and doing m times to generate multiple projections as part of a an LSH schema. Min-hashing might have been involved.
- senderista 4y agoIIRC, minhashing is used to approximate Jacquard similarity (a set-theoretic measure), while random hyperplanes (aka simhashing) is used to approximate cosine similarity (a geometric/algebraic measure). So they solve different problems, even though some problems can be cast in terms of either framework.