Table 6.
Some kNN optimization Schemes.
| Reference | Optimization Scheme | Application | Comments |
|---|---|---|---|
| [90] | Binary code learning | Image classification | Although the k-NN model is highly compressed, accuracy is traded off for memory efficiency |
| [55,91] | FPGA Acceleration | Classification | Although computation time is reduced, FPGAs are difficult to program. |
| [70] | Model compression using Stochastic Gradient Descent | Binary and Multi-class classification | The k-NN model is highly compressed with good accuracy |