Local-sensitive hash high-dimensional indexing method based on distribution entropy
A local sensitive hash and local sensitive technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of complex learning process and high overall complexity, reduce memory resources, improve retrieval performance, high The effect of query efficiency and precision
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[0045] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0046] In an embodiment of the present invention, a local sensitive hash index method based on distribution entropy is provided. Based on the training data set, the method calculates the distribution entropy value of each hash function in the candidate set of locally sensitive hash functions, and selects L hash functions with the highest distribution entropy values as the set of locally sensitive hash functions, and then according to the local A collection of hash functions to store the data set to be indexed in a hash table. More specifically, the method mainly includes the followi...
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