代码搜索：K-nearest

找到约 184 项符合「K-nearest」的源代码

代码结果 184
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www.eeworm.com/read/360995/10069852

m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a
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www.eeworm.com/read/451547/7461879

m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a
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www.eeworm.com/read/493294/6399874

m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a
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www.eeworm.com/read/492400/6422198

m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a
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www.eeworm.com/read/400576/11573450

m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a
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www.eeworm.com/read/213240/15139941

m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a
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www.eeworm.com/read/204456/15339241

m dknndd.m

%DKNNDD Distance K-Nearest neighbour data description method. % % W = DKNNDD(D,FRACREJ,K,METHOD) % % Calculates the K-Nearest neighbour data description on distance % dataset D. Two methods a
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www.eeworm.com/read/444082/7618742

pdf pattern recognition using average patterns of categorical k-nearest neighbors.pdf

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www.eeworm.com/read/299984/7140013

m knnr.m

%KNNR Nearest neighbor regression % % Y = KNNR(X,K) % % INPUT % X Regression dataset % K number of neighbors (default K=3) % % OUTPUT % Y k-nearest neighbor regression % % DESCRIPTIO
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www.eeworm.com/read/460435/7250488

m knnr.m

%KNNR Nearest neighbor regression % % Y = KNNR(X,K) % % INPUT % X Regression dataset % K number of neighbors (default K=3) % % OUTPUT % Y k-nearest neighbor regression % % DESCRIPTIO
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