代码搜索：Nearest
找到约 1,596 项符合「Nearest」的源代码
代码结果 1,596
www.eeworm.com/read/362199/10013176
asv knn.asv
function [eachClass, nearestSampleIndex, knnmat] = ...
knn(sampledata, testdata, k)
% KNN K-nearest neighbor rule for classification
% Usage:
% [EACH_CLASS, NEAREST_SAMPLE_INDEX] = KNN(SAMPLE, INPUT,
www.eeworm.com/read/362199/10013178
m knn.m
function [eachClass, nearestSampleIndex, knnmat] = ...
knn(sampledata, testdata, k)
% KNN K-nearest neighbor rule for classification
% Usage:
% [EACH_CLASS, NEAREST_SAMPLE_INDEX] = KNN(SAMPLE, INPUT,
www.eeworm.com/read/405754/2285168
c proc_pi.c
/*
# proc: process_nearest_pi - adds the next blob to the current phrase index
# proc: list and adjusts the bubble location statistics.
# proc: process_nearest_pi_Rel2 - adds the
www.eeworm.com/read/360995/10070134
m knndd.m
%KNNDD K-Nearest neighbour data description method.
%
% W = KNNDD(A,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on dataset A.
% Three methods are defined to compu
www.eeworm.com/read/451547/7461994
m knndd.m
%KNNDD K-Nearest neighbour data description method.
%
% W = KNNDD(A,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on dataset A.
% Three methods are defined to compu
www.eeworm.com/read/493294/6400489
m knndd.m
%KNNDD K-Nearest neighbour data description method.
%
% W = KNNDD(A,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on dataset A.
% Three methods are defined to compu
www.eeworm.com/read/492400/6422312
m knndd.m
%KNNDD K-Nearest neighbour data description method.
%
% W = KNNDD(A,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on dataset A.
% Three methods are defined to compu
www.eeworm.com/read/400576/11573567
m knndd.m
%KNNDD K-Nearest neighbour data description method.
%
% W = KNNDD(A,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on dataset A.
% Three methods are defined to compu
www.eeworm.com/read/213240/15140054
m knndd.m
%KNNDD K-Nearest neighbour data description method.
%
% W = KNNDD(A,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on dataset A.
% Three methods are defined to compu
www.eeworm.com/read/204456/15339349
m knndd.m
%KNNDD K-Nearest neighbour data description method.
%
% W = KNNDD(A,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on dataset A.
% Three methods are defined to compu