搜索资源列表
-
0下载:
数据挖掘算法,K-means聚类算法源代码,用于聚类分析-data mining algorithms, K-means clustering algorithm source code for the cluster analysis
-
-
0下载:
数据挖掘算法,fuzzy-K-means聚类算法源代码,用于模糊聚类分析-data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis
-
-
0下载:
数据挖掘聚类算法研究 -Data Mining Clustering Algorithm
-
-
0下载:
数据挖掘聚类算法 -Data Mining Clustering Algorithm
-
-
0下载:
matlab 聚类分析及数据挖掘的一种算法-matlab Clustering Data Mining Algorithm
-
-
0下载:
基于FCM的数据聚类分析及Matlab 实现
戈国华, 肖海波, 张敏
( 江西理工大学信息工程学院江西赣州341000 )
【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演
示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。-FCM clustering analysis based on the data and Matlab implementation Ge Guohua
-
-
1下载:
BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamic
-
-
0下载:
数据挖掘聚类算法中,K-means的matlab实现-Data mining clustering algorithm, K-means the matlab implementation
-
-
0下载:
K-means算法是最为经典的基于划分的聚类方法,是十大经典数据挖掘算法之一。K-means算法的基本思想是:以空间中k个点为中心进行聚类,对最靠近他们的对象归类。通过迭代的方法,逐次更新各聚类中心的值,直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the
-
-
0下载:
k-means算法实现,数据挖掘中经常用到的聚类分析算法。是最经典的常用算法。-k-means algorithm, cluster analysis algorithm often used in data mining. Is the most classic of common algorithms.
-
-
0下载:
DBSCAN algorithm in clustering and data mining
-
-
0下载:
The problem of intrusion detection has been studied and received a lot of attention in
machine learning and data mining in the literature survey. The existing techniques are not
effective to improve the classification accuracy and to reduce high
-
-
0下载:
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
-
-
0下载:
k均值是一种简单有效的聚类方法 可用在图像处理和数据挖掘等方面-k-means is a simple and effective clustering method can be used in image processing and data mining
-
-
0下载:
Clustering i one of the big important thing in data mining,we can do the best Clustering by using population-based algorithms such as imperialism competition Optimization
-
-
0下载:
数据挖掘中k均值划分聚类算法。输入对象的数据集矩阵和簇的数量,使用欧拉距离计算对象之间的相拟度-K-means partitioning clustering algorithm in data mining. Input object data sets matrix and the number of clusters, using euler distance calculation。
-
-
0下载:
聚类分析算法(K-means)。里面有三个类似相关算法。数据挖掘人工智能等-Clustering algorithm (K-means). There are three similar correlation algorithm. Data mining and artificial intelligence
-
-
0下载:
聚类分析算法(K-means)。里面有三个类似相关算法。数据挖掘人工智能等-Clustering algorithm (K-means). There are three similar correlation algorithm. Data mining and artificial intelligence
-
-
0下载:
MATLAB 数据挖掘算法,fuzzy-K-means聚类算法源-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source
-
-
0下载:
聚类分析又称群分析,它是研究(样品或指标)分类问题的一种统计分析方法,同时也是数据挖掘的一个重要算法-Clustering analysis is also called group analysis, which is the study of (samples or indexes) classification problem a method of statistical analysis is also an important algorithm of data mining
-