搜索资源列表
chameleon
- JAVA实现变色龙chameleon算法，CHAMELEON是一种两阶段聚类法。第一阶段把点分成很多小的簇；第二阶段根据相近程度合并这些小的簇。-JAVA realization a chameleon chameleon algorithm, CHAMELEON clustering method is a two-stage. The first phase of the point divided into many small clusters these small clusters
sourcearesult
- 用JAVA实现k-means算法，其中聚类方法使用余弦相似度-Using JAVA k-means algorithm, clustering method using the cosine similarity
java_kmeans
- java实现kmeans算法，可以处理任意维度的向量。并将聚类结果写入文本。-The kmeans algorithm java, and can handle any dimension vector. And write text clustering results.
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 算法用java实现对二维点集合的分类 输入相应的类别数 选择聚类中心-k-means algorithm to classify the input using java-dimensional set of points corresponding to the number of categories to select the cluster centers
malletTest
- mallet测试代码， 非常优秀的自然语言处理工具包，基于Java编写，可以进行文本分类，聚类等功能，并且支持加入自定义的算法，其中有众多的ＡＰＩ接口，有着很好的研究和实用价值。-mallet test code, very good natural language processing toolkit based on Java, you can text classification, clustering and other functions, and supports adding
K-meansjava_v1
- 用k-means算法进行聚类分析（java）。已运行成功。-By k-means clustering analysis algorithm（java）. Has been running successfully.
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
- 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.
Kmeansone
- Kmeans 算法的基本JAVA实现。可以实现聚类的功能。-kmeans ALGORITHM using JAVA
textcluster
- java版的k-means算法，实现文本聚类功能-the k-means algorithm in java
KMeans2
- kmeans算法的Java实现。算法接受参数 k 然后将事先输入的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。-k means algorithm is implemented in Java. Receiving algorithm parameter k and n data objects entered beforehand into k clusters in order to satisfy such cluste
Kmeans
- 用java语言实现的kmeans算法，将n个点分成k个聚类。-This is the code about kmeans.
TraditionalKmeans
- 通过JAVA程序实现的小区话务数据聚类分析，该算法简单易操作，适合任意类型的数据。-Through the JAVA program to achieve cell traffic data cluster analysis, the algorithm is simple and easy to operate, suitable for any type of data.
moa-release-2016.04
- MOA Machine Learning for Streams。它包括一系列机器学习算法（分类，回归，聚类，异常值检测，概念漂移检测和推荐系统）以及评估工具。与WEKA项目相关的MOA也是用Java编写的，同时扩展到更严苛的问题。 https://moa.cms.waikato.ac.nz/(It includes a series of machine learning algorithms (classification, regression, clustering, outlier