代码搜索：Nearest

找到约 1,596 项符合「Nearest」的源代码

代码结果 1,596
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/150905/12250599

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/220289/14843872

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/116193/14983423

cpp apstruct.cpp

#include #include "ap.h" using namespace std; // Round up to the nearest power of two or three times a power of two size_t rnd23up (size_t x) { size_t r = 1; if (!x) r
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www.eeworm.com/read/212307/15160182

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/344585/3207790

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/325480/3483488

m clustknb_new_w.m

function [C,R]=clustknb_new_w(XData, k, Weights, disp, mus) %[C,R,real_k,it]=clustknb_new(XData, k, Weights, mus=random_data_subset) % % 'online version' of the k-means-nearest-neighbourhood algorith
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www.eeworm.com/read/299717/3851116

m clustknb_new_w.m

function [C,R]=clustknb_new_w(XData, k, Weights, disp, mus) %[C,R,real_k,it]=clustknb_new(XData, k, Weights, mus=random_data_subset) % % 'online version' of the k-means-nearest-neighbourhood algorith
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www.eeworm.com/read/396844/2406723

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/170936/9779362

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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www.eeworm.com/read/415313/11076670

m knn.m

function net = knn(nin, nout, k, tr_in, tr_targets) %KNN Creates a K-nearest-neighbour classifier. % % Description % NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET % with input di
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