Description: 一个包含多个matlab文件的工具包，利用它可以方便使用模糊c均值聚类-Matlab file contains more than one kit, using it can easily use the fuzzy c means clustering Platform: |
Size: 11264 |
Author:lyn |
Hits:
Description: 运用matlab的模糊聚类文件，运用模糊聚类分析方法，聚类涉及事物之间的模糊界限-Matlab file using fuzzy clustering using fuzzy cluster analysis, clustering involves the fuzzy boundaries between things Platform: |
Size: 5120 |
Author:holly |
Hits:
Description: 本文有模糊聚类的论文和matlab编写的工具包，可直接使用-In this paper, a fuzzy clustering papers and the preparation of the MATLAB toolkit, can be used directly
Platform: |
Size: 802816 |
Author:林诺诺 |
Hits:
Description: 用matlab实现的C均值模糊聚类方法，程序简单易懂，适合初学者学习以及中高级学者在编程时调用，真的非常好用！-Using matlab the C mean fuzzy clustering method, the program is simple to understand for beginners to learn, as well as senior scholars in the programming call, really easy to use! Platform: |
Size: 1024 |
Author:slsnx_lee |
Hits:
Description: 模式识别与智能计算的一个基于matlab运行的识别分类软件，聚集了模糊聚类，SVM，神经网络等各种流行的分类算法于一体，便于比较测试数据在不同分类算法下的分类效果-Pattern Recognition and Intelligent Identification and Classification of the calculation to run a matlab software, gathered a variety of popular fuzzy clustering, SVM, neural network classification algorithm in one easy to compare test data classification results in different classification algorithms Platform: |
Size: 16740352 |
Author:胡 |
Hits:
Description: 模糊聚类的图像分割,通过模糊c-均值（FCM）聚类实现图像的分割-Fuzzy clustering segmentation
Image segmentation by fuzzy c-means (FCM) clustering.This is a very very very good file.matlab Platform: |
Size: 1024 |
Author:辛昊 |
Hits:
Description: 数据挖掘(Data Mining)阶段首先要确定挖掘的任务或目的。数据挖掘的目的就是得出隐藏在数据中的有价值的信息。数据挖掘是一门涉及面很广的交叉学科，包括器学习、数理统计、神经网络、数据库、模式识别、粗糙集、模糊数学等相关技术。它也常被称为“知识发现”。知识发现(KDD)被认为是从数据中发现有用知识的整个过程。数据挖掘被认为是KDD过程中的一个特定步骤，它用专门算法从数据中抽取模式(patter，如数据分类、聚类、关联规则发现或序列模式发现等。数据挖掘主要步骤是：数据准备、数据挖掘、结果的解释评估。-Data Mining (Data Mining) stage must first determine the mission or purpose of the excavation. The purpose of data mining is to draw valuable information hidden in the data. Data mining is an interdisciplinary involving a wide range, including control study, mathematical statistics, neural networks, databases, pattern recognition, rough sets, fuzzy mathematics and other related technologies. It is also often referred to as the " knowledge discovery" . Knowledge discovery (KDD) is that the whole process is to discover useful knowledge from data. Data mining is a particular step in the KDD process, with a special algorithm (patter, such as data classification, clustering, association rules discovery or sequential pattern discovery. Extracted from the data model and data mining major steps: data preparation, data mining, interpretation of the results evaluated. Platform: |
Size: 12288 |
Author:dlufl |
Hits:
Description: The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions:
- Clustering algorithms
- Evaluation with cluster prototypes
- Validation
- Visualisation
- Examples-The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions:
- Clustering algorithms
- Evaluation with cluster prototypes
- Validation
- Visualisation
- Examples Platform: |
Size: 11264 |
Author:massy |
Hits:
Description: 采用模糊数学语言对按一定的要求进行描述和分类的数学方法称为模糊聚类分析,模糊聚类分析Matlab程序-Mathematical methods described and classified according to certain requirements using fuzzy mathematical language called the fuzzy clustering analysis, fuzzy clustering analysis Matlab program Platform: |
Size: 12288 |
Author:王涛 |
Hits:
Search - matlab fuzzy clustering