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Search - k-means matlab - List
[
Mathimatics-Numerical algorithms
]
MATLABfuzzy-K-means
DL : 0
MATLAB 数据挖掘算法,fuzzy-K-means聚类算法源代码,用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
Date
: 2008-10-13
Size
: 1.15kb
User
:
puxx
[
Mathimatics-Numerical algorithms
]
k_means
DL : 0
k-means 算法接受输入量 k ;然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”(引力中心)来进行计算的。 Matlab 源代码,以兰花数据集作为测试对象。
Date
: 2008-10-13
Size
: 3.18kb
User
:
烈马
[
Mathimatics-Numerical algorithms
]
MATLABfuzzy-K-means
DL : 0
MATLAB 数据挖掘算法,fuzzy-K-means聚类算法源代码,用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
Date
: 2025-12-14
Size
: 1kb
User
:
puxx
[
Mathimatics-Numerical algorithms
]
kmeansNetlab
DL : 0
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
Date
: 2025-12-14
Size
: 2kb
User
:
西晃云
[
Mathimatics-Numerical algorithms
]
newkmeans
DL : 0
k-means算法,请大家参考,这是一个新的k-means源码-k-means algorithm, please refer to, this is a new source of k-means
Date
: 2025-12-14
Size
: 81kb
User
:
fanliutong
[
Mathimatics-Numerical algorithms
]
mopsoGECCO.tar
DL : 0
The last step in training phase is refinement of the clusters found above. Although DynamicClustering counters all the basic k-means disadvantages, setting the intra-cluster similarity r may require experimentation. Also, a cluster may have a lot in common with another, i.e., sequences assigned to it are as close to it as they are to another cluster. There may also be denser sub-clusters within the larger ones. -The last step in training phase is refinement of the clustersfound above. Although DynamicClustering counters all thebasic k-means disadvantages, setting the intra-cluster similarityr may require experimentation. Also, a cluster mayhave a lot in common with another, ie, sequences assignedto it are as close to it as they are to another cluster. Theremay also be denser sub-clusters within the larger ones.
Date
: 2025-12-14
Size
: 39kb
User
:
yznushuangyu
[
Mathimatics-Numerical algorithms
]
KMEANS
DL : 0
K-MEANS算法 输入:聚类个数k,以及包含 n个数据对象的数据库。 输出:满足方差最小标准的k个聚类。 处理流程: (1) 从 n个数据对象任意选择 k 个对象作为初始聚类中心; (2) 循环(3)到(4)直到每个聚类不再发生变化为止 (3) 根据每个聚类对象的均值(中心对象),计算每个对象与这些中心对象的距离;并根据最小距离重新对相应对象进行划分; (4) 重新计算每个(有变化)聚类的均值(中心对象)-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object )
Date
: 2025-12-14
Size
: 3kb
User
:
快快
[
Mathimatics-Numerical algorithms
]
breastcancerju
DL : 1
K-MEANS聚类算法,以及PSO和QPSO算法改进K-MEANS算法,breastcancer数据验证了该分类模型的有效性-K-MEANS clustering algorithm, and the PSO algorithm and QPSO to improve K-MEANS algorithm, breastcancer data verified the validity of the classification model
Date
: 2025-12-14
Size
: 42kb
User
:
李慧
[
Mathimatics-Numerical algorithms
]
k_means
DL : 0
k-means 算法接受输入量 k ;然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”(引力中心)来进行计算的。 Matlab 源代码,以兰花数据集作为测试对象。-k-means algorithm to accept input k then n data object is divided into k-clustering in order to make available to the cluster to meet: the same objects in clustering high similarity and objects in different clustering the similarity smaller. Cluster similarity is the use of the clustering of objects by means of a
Date
: 2025-12-14
Size
: 3kb
User
:
烈马
[
Mathimatics-Numerical algorithms
]
mitmatlab
DL : 0
数据挖掘matlab源码,包含机器学习领域中经典算法如ID3,C4.5,NN,CARD,EM等.-Data Mining matlab source, including the field of classical machine learning algorithms such as ID3, C4.5, NN, CARD, EM, etc..
Date
: 2025-12-14
Size
: 636kb
User
:
liu yihao
[
Mathimatics-Numerical algorithms
]
MeanShiftCluster
DL : 0
Mean shift clustering. K means clustering.
Date
: 2025-12-14
Size
: 2kb
User
:
Ezekiel
[
Mathimatics-Numerical algorithms
]
k-meanswunn061
DL : 0
matlab 实现k均值 k-means算法 过程清晰 适合初学者-matlab to achieve k-means k-means algorithm suitable for beginners a clear process
Date
: 2025-12-14
Size
: 1kb
User
:
吴娜
[
Mathimatics-Numerical algorithms
]
Fuzzy_K
DL : 0
Fuzzy K-means matlab 2 program
Date
: 2025-12-14
Size
: 2kb
User
:
ksse
[
Mathimatics-Numerical algorithms
]
knn
DL : 0
k近邻问题,我自己做的,效果有保证,还有测数据-k neighbor problem, I do, the effect is guaranteed, as well as measured data
Date
: 2025-12-14
Size
: 3kb
User
:
qht
[
Mathimatics-Numerical algorithms
]
kmeans
DL : 0
k均值代码,我自己做的,保证正确,欢迎下载-k means the code, I have to do to ensure that the correct, welcome to download
Date
: 2025-12-14
Size
: 3kb
User
:
qht
[
Mathimatics-Numerical algorithms
]
matlab
DL : 0
matlab编写的纹理图像分割gussian滤波后k-means聚类并将不同区域用线条表示出来除m程序还包括测试图片-matlab prepared texture image segmentation gussian filtered k-means clustering will be expressed in different regions of the use of lines, inter m program also includes test pictures
Date
: 2025-12-14
Size
: 1.96mb
User
:
wyj
[
Mathimatics-Numerical algorithms
]
knn
DL : 0
k均值聚类+matlab 有详细的注释和图片-failed to translate
Date
: 2025-12-14
Size
: 409kb
User
:
whnmyt
[
Mathimatics-Numerical algorithms
]
Matlab-kmeans
DL : 0
k-means clustering algorithm using MATLAB
Date
: 2025-12-14
Size
: 1kb
User
:
mrohaizat
[
Mathimatics-Numerical algorithms
]
MATLAB
DL : 0
k近邻算法 均值算法 中值算法 针对高斯和椒盐图像去噪-means algorithm k nearest neighbor algorithm in the value of denoising for Gaussian and salt and pepper
Date
: 2025-12-14
Size
: 1.73mb
User
:
wuyuehong
[
Mathimatics-Numerical algorithms
]
K-means
DL : 0
利用MATLAB实现K均值聚类算法,加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
Date
: 2025-12-14
Size
: 5kb
User
:
WG_JNU
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