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• K-Nearest neighbour algorithm免費(fèi)下載

  資源簡(jiǎn)介：K-Nearest neighbour algorithm

  標(biāo)簽： K-Nearest neighbour algorithm

  上傳時(shí)間： 2015-08-09

  上傳用戶(hù)：manking0408

• K Nearest Neighbor algorithm Implementation and Overview免費(fèi)下載

  資源簡(jiǎn)介：K Nearest Neighbor algorithm Implementation and Overview

  標(biāo)簽： Implementation algorithm Neighbor Overview

  上傳時(shí)間： 2014-01-23

  上傳用戶(hù)：李夢(mèng)晗

• data mining k nearest neighbour免費(fèi)下載

  資源簡(jiǎn)介：data mining k nearest neighbour

  標(biāo)簽： neighbour nearest mining data

  上傳時(shí)間： 2017-09-15

  上傳用戶(hù)：talenthn

• 主要是KNN（the K-Nearest neighbor　algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface免費(fèi)下載

  資源簡(jiǎn)介：主要是KNN（the K-Nearest neighbor　algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.

  標(biāo)簽： quantization K-Nearest algorithm decision

  上傳時(shí)間： 2016-02-07

  上傳用戶(hù)：zhyiroy

• K-Nearest neighbors classifier免費(fèi)下載

  資源簡(jiǎn)介：K-Nearest neighbors classifier

  標(biāo)簽： classifier K-Nearest neighbors

  上傳時(shí)間： 2013-12-25

  上傳用戶(hù)：壞天使kk

• An Efficient K-Means Clustering algorithm.免費(fèi)下載

  資源簡(jiǎn)介：An Efficient K-Means Clustering algorithm.

  標(biāo)簽： Clustering algorithm Efficient K-Means

  上傳時(shí)間： 2014-01-22

  上傳用戶(hù)：hgy9473

• k nearest neiborhood in macine learning免費(fèi)下載

  資源簡(jiǎn)介：k nearest neiborhood in macine learning

  標(biāo)簽： neiborhood learning nearest macine

  上傳時(shí)間： 2014-01-16

  上傳用戶(hù)：youth25

• KNN K-Nearest neighbor rule for classification免費(fèi)下載

  資源簡(jiǎn)介：KNN K-Nearest neighbor rule for classification

  標(biāo)簽： classification K-Nearest neighbor rule

  上傳時(shí)間： 2016-10-30

  上傳用戶(hù)：yangbo69

• nearest neighbour clustering is an algoithm that puts data in categories. This algotithm is a data m免費(fèi)下載

  資源簡(jiǎn)介：nearest neighbour clustering is an algoithm that puts data in categories. This algotithm is a data mining subject. Similar data is put in the same cluster.

  標(biāo)簽： data clustering categories algotithm

  上傳時(shí)間： 2017-03-27

  上傳用戶(hù)：181992417

• source code for pattern classification k nearest neighbor source code免費(fèi)下載

  資源簡(jiǎn)介：source code for pattern classification k nearest neighbor source code

  標(biāo)簽： source code classification neighbor

  上傳時(shí)間： 2017-05-15

  上傳用戶(hù)：songyue1991

• K-Nearest neighbors 搜索 聚類(lèi)時(shí)經(jīng)常使用的一種方法 國(guó)外網(wǎng)站轉(zhuǎn)載免費(fèi)下載

  資源簡(jiǎn)介：K-Nearest neighbors 搜索 聚類(lèi)時(shí)經(jīng)常使用的一種方法 國(guó)外網(wǎng)站轉(zhuǎn)載

  標(biāo)簽： K-Nearest neighbors 搜索 聚類(lèi)

  上傳時(shí)間： 2017-05-18

  上傳用戶(hù)：sy_jiadeyi

• it is java code for k means clustering algorithm免費(fèi)下載

  資源簡(jiǎn)介：it is java code for k means clustering algorithm

  標(biāo)簽： clustering algorithm means code

  上傳時(shí)間： 2017-05-22

  上傳用戶(hù)：趙云興

• an introduction about K-Nearest neighbor method免費(fèi)下載

  資源簡(jiǎn)介：an introduction about K-Nearest neighbor method

  標(biāo)簽： introduction K-Nearest neighbor method

  上傳時(shí)間： 2013-12-02

  上傳用戶(hù)：皇族傳媒

• It s the kNN or else named K-Nearest Neabours algorythm, realized by the tools of Visual Studio deve免費(fèi)下載

  資源簡(jiǎn)介：It s the kNN or else named K-Nearest Neabours algorythm, realized by the tools of Visual Studio developer system.

  標(biāo)簽： the algorythm K-Nearest Neabours

  上傳時(shí)間： 2014-01-20

  上傳用戶(hù)：gengxiaochao

• Rainbow is a C program that performs document classification usingone of several different methods,免費(fèi)下載

  資源簡(jiǎn)介：Rainbow is a C program that performs document classification usingone of several different methods, including naive Bayes, TFIDF/Rocchio,K-Nearest neighbor, Maximum Entropy, Support Vector Machines, Fuhr sProbabilitistic Indexing, and a sim...

  標(biāo)簽： classification different document performs

  上傳時(shí)間： 2015-03-03

  上傳用戶(hù)：希醬大魔王

• 在visual basic環(huán)境下免費(fèi)下載

  資源簡(jiǎn)介：在visual basic環(huán)境下，實(shí)現(xiàn)K-Nearest neighbor算法。

  標(biāo)簽： visual basic 環(huán)境

  上傳時(shí)間： 2013-12-08

  上傳用戶(hù)：ma1301115706

• KNN算法的實(shí)現(xiàn)免費(fèi)下載

  資源簡(jiǎn)介：KNN算法的實(shí)現(xiàn)，K-Nearest neighbors聚類(lèi)算法的matlab 實(shí)現(xiàn)

  標(biāo)簽： KNN 算法

  上傳時(shí)間： 2013-12-19

  上傳用戶(hù)：AbuGe

• 樸素貝葉斯(Naive Bayes, NB)算法是機(jī)器學(xué)習(xí)領(lǐng)域中常用的一種基于概率的分類(lèi)算法免費(fèi)下載

  資源簡(jiǎn)介：樸素貝葉斯(Naive Bayes, NB)算法是機(jī)器學(xué)習(xí)領(lǐng)域中常用的一種基于概率的分類(lèi)算法，非常簡(jiǎn)單有效。k近鄰法(K-Nearest Neighbor, kNN)[30,31]又稱(chēng)為基于實(shí)例(Example-based, Instance-bases)的算法，其基本思想相當(dāng)直觀：Rocchio法來(lái)源于信息檢索系統(tǒng)，后來(lái)最早...

  標(biāo)簽： Naive Bayes NB 貝葉斯

  上傳時(shí)間： 2014-01-03

  上傳用戶(hù)：wxhwjf

• Probability distribution functions. estimation - (dir) Probability distribution estimation. dsam免費(fèi)下載

  資源簡(jiǎn)介：Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaus...

  標(biāo)簽： distribution Probability estimation functions

  上傳時(shí)間： 2016-04-28

  上傳用戶(hù)：13188549192

• * acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. *免費(fèi)下載

  資源簡(jiǎn)介：* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. * afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries. * extractevents.m: Matlab script to extra...

  標(biāo)簽： acousticfeatures timeseries generate training

  上傳時(shí)間： 2013-12-26

  上傳用戶(hù)：牛布牛

• KNN. K- Neighbor Nearest algorithm免費(fèi)下載

  資源簡(jiǎn)介：KNN. K- Neighbor Nearest algorithm

  標(biāo)簽： algorithm Neighbor Nearest KNN

  上傳時(shí)間： 2017-07-18

  上傳用戶(hù)：cx111111

• This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.C免費(fèi)下載

  資源簡(jiǎn)介：This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers ...

  標(biāo)簽： implementing directory algorithm contains

  上傳時(shí)間： 2014-01-27

  上傳用戶(hù)：maizezhen

• 一個(gè)投影聚類(lèi)算法及其數(shù)據(jù)集生成源碼。 參考文獻(xiàn)： Eric K.K. Ng, A. Fu : Efficient algorithm for Projected Clustering,免費(fèi)下載

  資源簡(jiǎn)介：一個(gè)投影聚類(lèi)算法及其數(shù)據(jù)集生成源碼。 參考文獻(xiàn)： Eric K.K. Ng, A. Fu : Efficient algorithm for Projected Clustering,

  標(biāo)簽： A. K.K. Clustering Efficient

  上傳時(shí)間： 2013-12-11

  上傳用戶(hù)：亞亞娟娟123

• This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS免費(fèi)下載

  資源簡(jiǎn)介：This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster ce...

  標(biāo)簽： code implementing directory algorithm

  上傳時(shí)間： 2014-01-15

  上傳用戶(hù)：woshini123456

• k-meansy算法源代碼。This directory contains code implementing the K-means algorithm. Source code may be f免費(fèi)下載

  資源簡(jiǎn)介：k-meansy算法源代碼。This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given ...

  標(biāo)簽： code implementing directory algorithm

  上傳時(shí)間： 2016-04-07

  上傳用戶(hù)：shawvi

• ％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input da免費(fèi)下載

  資源簡(jiǎn)介：％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the...

  標(biāo)簽： multidimensional estimation algorithm Gaussian

  上傳時(shí)間： 2013-12-03

  上傳用戶(hù)：我們的船長(zhǎng)

• ％ decode with soft-input viterbi algorithm 硬判決 ％ //k=4,r=1/2 ％輸入數(shù)據(jù)為軟信息免費(fèi)下載

  資源簡(jiǎn)介：％ decode with soft-input viterbi algorithm 硬判決 ％ //k=4,r=1/2 ％輸入數(shù)據(jù)為軟信息，并且數(shù)據(jù)為均值為1的BPSK調(diào)制，如果均值為MEAN,那么62,63,103,104行應(yīng)做相應(yīng)修改

  標(biāo)簽： soft-input algorithm viterbi decode

  上傳時(shí)間： 2014-10-28

  上傳用戶(hù)：aig85

• K-means algorithm, written by visual c++ 6免費(fèi)下載

  資源簡(jiǎn)介：K-means algorithm, written by visual c++ 6

  標(biāo)簽： algorithm K-means written visual

  上傳時(shí)間： 2014-11-10

  上傳用戶(hù)：cylnpy

• This directory contains code implementing the K-means algorithm using min-max distance.免費(fèi)下載

  資源簡(jiǎn)介：This directory contains code implementing the K-means algorithm using min-max distance.

  標(biāo)簽： implementing directory algorithm contains

  上傳時(shí)間： 2016-10-11

  上傳用戶(hù)：familiarsmile

• Straightforward implementation of the exact pairwise nearest neighbor (PNN) algorithm takes (O3) ti免費(fèi)下載

  資源簡(jiǎn)介：Straightforward implementation of the exact pairwise nearest neighbor (PNN) algorithm takes (O3) time

  標(biāo)簽： Straightforward implementation algorithm neighbor

  上傳時(shí)間： 2016-12-22

  上傳用戶(hù)：myworkpost