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Description: k-nearest neighbors classifier
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Size: 2048 |
Author: bbb |
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Description: K-Nearest neighbour algorithm-K- Nearest neighbor algorithm
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Size: 1024 |
Author: shang jie |
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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
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Size: 17408 |
Author: 才华 |
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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
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Size: 2048 |
Author: hiamy0313 |
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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!
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Size: 2048 |
Author: wang |
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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.
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Size: 2048 |
Author: yangdi |
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Description: k nearest neiborhood
in macine learning
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Size: 1024 |
Author: jacqueline |
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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
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Size: 303104 |
Author: 徐晓云 |
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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.
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Size: 10240 |
Author: 陈延军 |
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Description: KNN K-nearest neighbor rule for classification -KNN K-nearest neighbor rule for classification
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Size: 1024 |
Author: 鲁剑锋 |
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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
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Size: 1024 |
Author: skyfly |
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Description: K Nearest Neighbor algorithm Implementation and Overview
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Size: 2048 |
Author: vietanh |
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Description: source code for pattern classification k nearest neighbor source code
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Size: 1024 |
Author: ronak2018 |
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Description: data mining k nearest neighbour
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Size: 1024 |
Author: said |
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Description: knn (k-nearest neighbor)用c++实现的近邻算法-knn (k-nearest neighbor) algorithm
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Size: 4096 |
Author: sunchao |
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Description: k-nearest neighbour classifier source code
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Size: 1024 |
Author: zeinab |
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Description: k Nearest Neighbor matlab code
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Size: 1024 |
Author: Weronika |
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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
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Size: 3072 |
Author: lilei |
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Description: K-PNN Algorithm
a type of k nearest neighbor algorithm
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Size: 24576 |
Author: parisa |
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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.)
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Size: 1024 |
Author: 794937246 |
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