搜索资源列表
MovieSite
- 利用kmeans对电影进行聚类，利用java实现-Use kmeans clustering of the film, using java to achieve
Source-Code
- 数据挖掘经典算法实现。使用这个算法分别对图片和DBLP上面学者的合作关系图进行了聚类，然后评估聚类的结果。算法实现用的java，DBLP的数据的搜集和预处理是用Python编写。-Classical data mining algorithm. Using this algorithm, respectively, pictures and cooperation between scholars DBLP above graph clustering, and then evaluate th
Kmeans
- K-means聚类算法的java实现。一个类，可以直接调用。-K-means clustering algorithm implemented by java.you can use it directly in your coad.
Cluster
- 求一个小世界网络中，每一个节点的聚类系数，利用java实现。-Using java to find a small world network, each node clustering coefficient.
Affinity-propagation_JAVA
- Affinity propagation （AP）聚类算法的JAVA程序！可参考再修改!-Affinity propagation (AP) clustering algorithm JAVA program! Refer again to modify!
tfidf
- 用于文本分类，计算tfidf值，自己创建java工程，然后将类加进入就可以了。记得修改路径就行。-Clustering Algorithm
kmeansInJava
- 使用Java实现了kmeans算法，对给定点阵进行聚类-implementing k-means algorithm using java to clustering the given points
Kmeans
- 利用java实现了k-means聚类，数据集是由Math.random函数产生的。-K-means clustering was achieved with Java.The data set was created by Math.random.
kmeans
- k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
My_Kmeans
- java写的k-means，随机选择聚类中心-the realizationg of K-means clustering algotithm based on Java,with random selection of clustering centers
Fuzzy-logic-evaluation
- 模糊逻辑分析是人工智能的典型工具，通过理论分析，作者给出了一个基于java的模糊聚类算法，以考察司机的行为并作出评价-Fuzzy logic is a typical tool for analysis of artificial intelligence, theoretical analysis, the author gives a java-based fuzzy clustering algorithm to study driver behavior and to uate
LDBSCAN
- 数据挖掘聚类算法java代码。包含LDBSCAN算法源码。-Data mining clustering algorithm java code. It contains LDBSCAN algorithm source code.
Kmeans
- 数据挖掘聚类算法java代码。包含Kmeans算法源码。-Data mining clustering algorithm java code. Kmeans algorithm source code included.
JBIRCH
- 本代码是关于数据挖掘的层次聚类算法的java编程实例，请勿用于商业用途上-The code is java programming examples on data mining hierarchical clustering algorithm, not for commercial use
JBIRCH-src
- 本代码是关于数据挖掘的层次聚类算法的JAVA编程实例，请勿用于商业用途上-The code is JAVA programming examples on data mining hierarchical clustering algorithm, not for commercial use
DBScan03
- DBScan算法实现，用Java高级编程语言正确实现DBSCAN算法，DBScan是一种基于密度的聚类算法，它有一个核心点的概念：如果一个点，在距它e的范围内有不少于MinP个点，则该点就是核心点。核心和它e范围内的邻居形成一个簇。在一个簇内如果出现多个点都是核心点，则以这些核心点为中心的簇要合并。最终输出找到的簇及其数据点。-DBScan algorithm, using high-level programming language Java is implemented correctly
KMeans-master
- KMeans聚类算法的Java实现 KMeans聚类算法的Java实现-KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java KMeans clustering algorithm implemented in Java
k_means
- 这是数据挖掘中的k均值聚类算法，用java语言编写的，对于搞聚类的人士很有帮助-This is the data mining k-means clustering algorithm, using java language, for persons engaged in clustering helpful
基于粗糙集的层次聚类算法研究
- 实现了两种基于粗糙集模型的层次聚类算法，采用java编程语言实现(Hierarchical clustering algorithm for categorical data using a probabilistic rough set model)
Kmeans_java
- 使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)