A framework for index based similarity search.
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Updated
May 10, 2019 - C++
A framework for index based similarity search.
Using C++ to implement Vector Quantization Encoder
A low-complexity VQ image codec
Automatic Speech Recognition library for my BTech Project.
Dreamcast image format and VQ conversion tool, originally authored by Sega of Europe and Imagination Technologies
k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
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