Location:
Search - soft clustering
Search list
Description: FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition.
Platform: |
Size: 368640 |
Author: Alpha |
Hits:
Description: FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.
Platform: |
Size: 1713152 |
Author: zhourl |
Hits:
Description: FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.
Platform: |
Size: 9216 |
Author: zhourl |
Hits:
Description: 一种基于软划分方法的聚类方法——模糊k均值法聚类分析。-A division of methods based on soft clustering method- fuzzy k-means cluster analysis.
Platform: |
Size: 1024 |
Author: wyl |
Hits:
Description: FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest similarity between the object, and the similarity between different cluster minimum. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for the data are divided into hard and fast, and FCM is a soft fuzzy partition
Platform: |
Size: 1312768 |
Author: colin |
Hits:
Description: 软测量氧含量原始数据分工况聚类函数及代码-Raw data measuring oxygen content in the soft state clustering functions and code division
Platform: |
Size: 1024 |
Author: 雷达 |
Hits:
Description: 软测量氧含量原始数据及matlab工况聚类代码-Measuring the oxygen content of soft raw data and clustering matlab code condition
Platform: |
Size: 4096 |
Author: 雷达 |
Hits:
Description: 软测量氧含量数据工况聚类、建模matlab实现代码-Measuring the oxygen content of soft data clustering conditions, modeling matlab implementation code
Platform: |
Size: 5120 |
Author: 雷达 |
Hits:
Description: 软测量氧含量数据工况聚类、建模matlab实现代码2-Measuring the oxygen content of soft data clustering conditions, modeling the implementation code 2 matlab
Platform: |
Size: 6144 |
Author: 雷达 |
Hits:
Description: 软测量氧含量数据工况聚类、建模matlab实现代码3-Measuring the oxygen content of soft data clustering conditions, modeling matlab implementation code 3
Platform: |
Size: 1024 |
Author: 雷达 |
Hits:
Description: 基于模糊的聚类，是一种软聚类。但是不能避免全局最小点-Based on a fuzzy clustering, is a soft clustering. But you can not avoid the global minimum point
Platform: |
Size: 1024 |
Author: ysdfhdsf |
Hits:
Description: 核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中
的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚
类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
The sample has a high degree of similarity, rather than difference in kind in large samples. Focused on the soft clustering (Fuzzy C- Means FCM), but its description means equally suitable for hard poly
Class (HCM) and other similar issues.
Platform: |
Size: 116736 |
Author: 楚淇博 |
Hits:
Description: 利用K-MEANS方法和FCM方法的程序运行作比较，从而实现了软聚类和硬聚类算法的对比。-The use of K-MEANS method and FCM method of comparing the program is running, in order to achieve the contrast of soft and hard clustering algorithm clustering.
Platform: |
Size: 64512 |
Author: 周弋业 |
Hits:
Description: It is one the soft computing algorithm.
It is a clustering algorithm named Hyrarchical Clustering algorithm. Source code is provided here, user has to change the data set.
Platform: |
Size: 1024 |
Author: Arpita |
Hits:
Description: 用MATLAB实现动态聚类或迭代自组织数据分析，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块，比较了软阈值，硬阈值及当今各种阈值计算方法。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, ofdm system simulation including 16qam modulation fft windowing modules plus cp, Comparison of soft threshold and hard threshold and today various threshold calculation method.
Platform: |
Size: 6144 |
Author: 姚辉 |
Hits:
Description: 比较了软阈值，硬阈值及当今各种阈值计算方法,基于K均值的PSO聚类算法,分析了该信号的时域、频域、倒谱，循环谱等。- Comparison of soft threshold and hard threshold and today various threshold calculation method, K-means clustering algorithm based on the PSO, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.
Platform: |
Size: 5120 |
Author: jing |
Hits:
Description: 基于欧几里得距离的聚类分析，matlab开发工具箱中的支持向量机，比较了软阈值，硬阈值及当今各种阈值计算方法。- Clustering analysis based on Euclidean distance, matlab development toolbox support vector machine, Comparison of soft threshold and hard threshold and today various threshold calculation method.
Platform: |
Size: 4096 |
Author: nwahaud |
Hits:
Description: 比较了软阈值，硬阈值及当今各种阈值计算方法,可实现对二维数据的聚类，有PMUSIC 校正前和校正后的比较。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Can realize the two-dimensional data clustering, A relatively before correction and after correction PMUSIC.
Platform: |
Size: 3072 |
Author: 王振红 |
Hits:
Description: wolf 方法计算李雅普诺夫指数,比较了软阈值，硬阈值及当今各种阈值计算方法,基于欧几里得距离的聚类分析。- wolf calculated Lyapunov exponent, Comparison of soft threshold and hard threshold and today various threshold calculation method, Clustering analysis based on Euclidean distance.
Platform: |
Size: 5120 |
Author: drkcp |
Hits:
Description: K-means clustering algorithm based on the PSO, Channelized receiver based on multi-phase structure, Comparison of soft threshold and hard threshold and today various threshold calculation method.
Platform: |
Size: 4096 |
Author: genghaoqeng
|
Hits: