搜索资源列表
Advanced_Statistic
- J语言实现的各种高级统计功能，比如线性回归，聚类分析等。可用在实验室中各种数据仓库的数据挖掘之用。-J language of the High statistical functions, such as linear regression, clustering analysis. Available in the laboratory data warehouse data mining purposes.
fcluster-1[1].2g.tar
- 模糊聚类的算法实现程序，用java实现，源代码-fuzzy clustering algorithm procedures, using java achieved, the source code
kmeans_java
- k-means聚类算法的java代码实现,良好的代码风格，适合扩充-k-means clustering algorithm to achieve the java code, the code of good style, suitable for expansion
FCM(java)
- 模糊聚类算法FCM的JAVA源代码。输入data_in.txt和parameters.txt文件，输出center.txt和matrix.txt文件-fuzzy clustering algorithm FCM Java source code. Parameters.txt data_in.txt and importation documents, center.txt output documents and matrix.txt
K_Means(java)
- 聚类算法（java）语言实现，大家有问题的话可以联系我，一起讨论啊，
JAVA实现文本聚类，用到TF/IDF权重
- JAVA实现文本聚类，用到TF/IDF权重，用余弦夹角计算文本相似度，用k-means进行数据聚类等数学和统计 知识。,JAVA realization of text clustering, using TF/IDF weight, calculated using cosine angle between the text of similarity, using k-means clustering for data such as mathematical and statistical
java-cluster.zip
- 用java语言实现文本聚类，包括聚类前的数据预处理：分词、降维、建立向量空间模型等,Implementation using java language text clustering, including clustering of the data pre-processing before: segmentation, dimensionality reduction, set up, such as Vector Space Model
k-meansjava.rar
- 用JAVA语言实现的经典聚类算法k-means，聚类与分类不同，它是无监督的过程，,JAVA language used to achieve a classic clustering algorithm k-means, clustering and classification of different, it is the unsupervised process,
TestK
- java的k-means聚类算法实现，使用了2维的聚类算法，在数据统计以及图像识别方面不错-java of the k-means clustering algorithm
dbscan
- 基于密度的聚类的实现，用JSP实现的，界面友好-Density-based clustering to achieve, using JSP to achieve, user-friendly
weka-src
- Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等-Java to prepare a variety of data mining algorithms, including clustering, classification, preprocessing, etc.
Clustering
- 用于文本的聚类，里面包含两个java文件，需放在同一个包内-For text clustering, which contains two java files, need to be placed within the same package
SimpleKMeans
- 数据挖掘聚类算法：SimpleKMeans源代码，采用JAVA语言编程实现-Clustering Algorithm of Data Mining: SimpleKMeans source code, the use of JAVA programming language
Cluster_Analysis
- 用Java语言实现的空间聚类分析程序，对离散点按照距离标准进行分类。-Java language with the spatial clustering analysis procedures, in accordance with the distance between discrete points of criteria.
weka
- 经典的数据挖掘算法的源代码，包括分类、聚类、关联规则等，非常有用。-Classical data mining algorithms of source code, including classification, clustering, association rules and so on, very useful.
textcluster
- java文本聚类程序代码文件，实现文本聚类功能，分词。-text clustering java code files to achieve text clustering features, sub-word.
kmeans
- java k均值源码，实现了k-means的算法，并给出界面显示。实例中通过二维空间中的点进行聚类。-java k-means algorithm, display the cluster result on the two demension.
k-means_Program
- 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。 -k-means algorithm to accept input k then n-k of data objects into a cluster in order to make the cluster available to meet: t
jknn
- 一个KNN原理的示范性代码，Java 编写，用于简单的聚类分析！-KNN principle demonstration of a code, Java is written for simple clustering analysis!
聚类算法
- 简单的各种聚类算法，适合初学者学习！！！！(Simple clustering algorithm, suitable for beginners to learn!!!!)