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[AI-NN-PRKNN_Classi192133852005

Description: k-nearest neighbors classifier
Platform: | Size: 2048 | Author: bbb | Hits:

[matlabKNNalgorithm

Description: K-Nearest neighbour algorithm-K- Nearest neighbor algorithm
Platform: | Size: 1024 | Author: shang jie | Hits:

[AI-NN-PRKNN(C++)

Description: knn,即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-knn, k-nearest neighbor pattern recognition algorithm is a relatively simple and classic classification algorithm
Platform: | Size: 17408 | Author: 才华 | Hits:

[Graph programClassify_Homework

Description: 模式识别作业——用平均样本法,平均距离法,最近邻法和K近邻法进行分类-pattern recognition operations-- with the average sample, the average distance, nearest neighbor and K-nearest-neighbor classification
Platform: | Size: 2048 | Author: hiamy0313 | Hits:

[matlabknn_demo

Description: K近邻法的matlab程序,发现大家都在找它!-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
Platform: | Size: 2048 | Author: wang | Hits:

[MPIK-meanCluster

Description: How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. -How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
Platform: | Size: 2048 | Author: yangdi | Hits:

[AI-NN-PRknn

Description: k nearest neiborhood in macine learning
Platform: | Size: 1024 | Author: jacqueline | Hits:

[Crack HackKNN

Description: k最近邻分类算法:用C++实现KNN分类-k Nearest Neighbor Classification Algorithm: The C++ realize KNN classification
Platform: | Size: 303104 | Author: 徐晓云 | Hits:

[Other systemsevents

Description: * 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 extract event timeseries using the complete run timeseries and the ground truth/label information. * extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes. * sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries. * ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module. ?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module. ?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module.
Platform: | Size: 10240 | Author: 陈延军 | Hits:

[matlabknn

Description: KNN K-nearest neighbor rule for classification -KNN K-nearest neighbor rule for classification
Platform: | Size: 1024 | Author: 鲁剑锋 | Hits:

[AI-NN-PRKNN

Description: K近邻算法(KNN)的matlab源代码,程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
Platform: | Size: 1024 | Author: skyfly | Hits:

[AlgorithmKNN

Description: K Nearest Neighbor algorithm Implementation and Overview
Platform: | Size: 2048 | Author: vietanh | Hits:

[OtherPatternClassification

Description: source code for pattern classification k nearest neighbor source code
Platform: | Size: 1024 | Author: ronak2018 | Hits:

[matlabkNearestNeighbors

Description: data mining k nearest neighbour
Platform: | Size: 1024 | Author: said | Hits:

[AI-NN-PRknn

Description: knn (k-nearest neighbor)用c++实现的近邻算法-knn (k-nearest neighbor) algorithm
Platform: | Size: 4096 | Author: sunchao | Hits:

[matlabk-nn

Description: k-nearest neighbour classifier source code
Platform: | Size: 1024 | Author: zeinab | Hits:

[matlabkNN

Description: k Nearest Neighbor matlab code
Platform: | Size: 1024 | Author: Weronika | Hits:

[OtherK

Description: K最邻近分类器设计的MATLAB代码,有代码解释-K nearest neighbor classifier design in MATLAB code
Platform: | Size: 3072 | Author: lilei | Hits:

[matlabK-PNN

Description: K-PNN Algorithm a type of k nearest neighbor algorithm
Platform: | Size: 24576 | Author: parisa | Hits:

[OtherK-Nearest Neighbor Classifier

Description: 调用于sklearn平台的K-Nearest Neighbor Classifier算法,有着较好的分类能力(The k-nearest Neighbor Classifier algorithm for sklearn platform has good classification ability.)
Platform: | Size: 1024 | Author: 794937246 | Hits:
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