Location:
Search - matlab k
Search list
Description: 数据挖掘中K均值算法的实现用MATLAB编写-data mining to the K-means algorithm to achieve prepared using MATLAB
Platform: |
Size: 1024 |
Author: 方巍巍 |
Hits:
Description: 这次上传的代码是关于K-means clusters的代码，希望能对大家有用。-The uploaded code is about K-means clusters.I hope it can be a help to everyone.
Platform: |
Size: 5120 |
Author: 李乐 |
Hits:
Description: Matlab环境下的k-means聚类算法，实现图像分割，很快阿！-K-means Clustering arithmetic based on Matlab platform.It s fast for Image-Division!
Platform: |
Size: 32768 |
Author: 刘明霞 |
Hits:
Description: 这个是K-Means动态聚类算法的源程序，需要的请下，请多多指教，谢谢！-This is a K- Means clustering algorithm source, the need to please, please exhibitions, thank you!
Platform: |
Size: 32768 |
Author: HaicoLi |
Hits:
Description: MATLAB编写的一种模式识别里的重要的模糊聚类方法K-means算法的matlab程序.-MATLAB prepare a Pattern Recognition's important Fuzzy clustering methods K-means algorithm Matlab procedures.
Platform: |
Size: 55296 |
Author: zs |
Hits:
Description: 这个是采用欧氏距离下的K-means算法的matlab实现-this is the Euclidean distance between the K-means algorithm to achieve the Matlab
Platform: |
Size: 5120 |
Author: 李序 |
Hits:
Description: k-l变换的人脸识别
不过是matlab代码-k-l Transform the face recognition is Matlab code
Platform: |
Size: 1024 |
Author: Felix |
Hits:
Description: 关于k-means聚类算法的MATLAB实现-On the k-means clustering algorithm of MATLAB realize
Platform: |
Size: 10240 |
Author: chen |
Hits:
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:
Description: k-均值算法 做的图象分割实例 （将图片像素聚成三类）-k-means algorithm to do the image segmentation example (poly-pixel pictures into three categories)
Platform: |
Size: 104448 |
Author: 姜波 |
Hits:
Description: KL变换的Matlab实现 KL 变换是图像正交变换的一种，在图像压缩领域有着广泛应用。-KL Transform Matlab realize KL transform is a kind of orthogonal transformation image in the field of image compression have broad application.
Platform: |
Size: 1024 |
Author: 贺宏洲 |
Hits:
Description: 这是一个关于k中心聚类的算法，希望大家指点。-It is a clustering algorithm k centers, I hope everyone pointing.
Platform: |
Size: 593920 |
Author: fanliutong |
Hits:
Description: 基于MATLAB的k-means算法 较好的解决了图像分类聚类的问题-MATLAB based on the k-means algorithm better solved the problem of image classification clustering
Platform: |
Size: 1024 |
Author: 刘小强 |
Hits:
Description: 空间数据分析中最常用的是聚类分析,而K-MEANS算法是聚类分析中常用的,其主要思想是在给定的聚类数目下对多维(我做的是三维空间点)向量进行聚类,-Spatial data analysis is the most commonly used cluster analysis, while the K-MEANS algorithm is commonly used in cluster analysis, the main idea is to set the number of under the multi-dimensional clustering (I make the three-dimensional space-point) vector cluster,
Platform: |
Size: 6144 |
Author: tangkezong |
Hits:
Description: 简单实用的k均值聚类算法，可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
Platform: |
Size: 5120 |
Author: chunxiao |
Hits:
Description: K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现-K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
Platform: |
Size: 122880 |
Author: zhengmin |
Hits:
Description: k均值聚类算法源码（matlab）
k均值聚类算法源码（matlab）-k-means clustering algorithm source code (matlab) k-means clustering algorithm source code (matlab)
Platform: |
Size: 1024 |
Author: 刘玉平 |
Hits:
Description: 较简单的KMeans聚类算法实现，编程语言matlab-Clustering KMeans relatively simple algorithm, programming language matlab
Platform: |
Size: 4096 |
Author: tzx |
Hits:
Description: K-均值算法的Matlab源代码，比较简短-Matlab source code of K-means algorithm
Platform: |
Size: 1024 |
Author: luo |
Hits:
« 12
3
4
5
6
7
8
9
10
...
50
»