搜索资源列表
Kmeans
- K-均值聚类算法，是一种随机选取数个数据中心进行点聚类处理进而生成分类的数据挖掘算法，具有很好的学习功能。-K-means clustering algorithm is a randomly selected number of data center point clustering process thereby generating classification data mining algorithms, with good learning function.
community
- 复杂网络聚类算法包java程序。 -complex network cluster，complex network cluster，complex network cluster，complex network cluster，
src
- 聚类算法，包括ISOdata以及K-Means。在实验报告中详细分析了一下实验的结果-Clustering algorithms, including ISOdata and K-Means. In a detailed analysis of the experimental report about the results of the experiment
kmeans_report
- Java 实现k-means 聚类算法，分别以迭代次数及分配不再发生变化为算法终止条件，用图片作为数据集，比较运行时间-Java implementation of k-means clustering algorithm, respectively, and the distribution of the number of iterations of the algorithm terminates no change in the conditions, with a picture (o
Kmeans
- k均值聚类算法代码, k均值聚类算法代码-k-means clustering algorithm code, k-means clustering algorithm code
mahout-ailk
- Mahout Canopy&KMeans聚类示例代码 描述了使用Mahout Canopy&KMeans的快速聚类分析，简单直接上手 直接上代码了-Mahout Canopy&KMeans
kmeans
- 简单的k_means聚类算法,用java语言编写实现，扩展性不强-simple kmeans clustering method
_k_means_picture
- K-means聚类算法 用于图像处理 JAVA语言编写，聚类中值算法可运行-k-means clustering algorithm image processing
NlPIR
- 实现了中文分词，我还自己加入了if-idf和聚类。-Achieve a Chinese word, I myself joined the if-idf and clustering.
cengcijulei
- 层次聚类算法与之前所讲的顺序聚类有很大不同，它不再产生单一聚类，而是产生一个聚类层次。-Hierarchical clustering algorithms and sequence clustering before talking about is very different, it is no longer produce a single cluster, but does generate a cluster level.
textcluster
- 基于KMeans的文本聚类算法，支持文本输入，简单易懂-KMeans clustering algorithm based on text, support for text input, easy to understand
K_Means
- k-means 算法的工作过程说明如下：首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。下面给出我写的源代码。-work process k-means al
SCAN
- SCAN算法，从超大图中分割出密集的结构聚类算法-SCAN algorithm, split a dense structure from large graph clustering algorithm
kmeansCluster
- 用Java实现kmeans(画布上画点聚类)-Java implementation kmeans (on canvas painting point clustering)
K_average
- 数据挖掘中聚类算法的K_均值算法，采用文件输入数据形式，找到相关聚类-Data mining clustering algorithm K_ means algorithm, using the form input data file, find the relevant clustering
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.
carrot2-cluster
- 使用carrot2实现的读取数据库进行聚类的程序，同时也可以实现读取lucene索引进行聚类，结果催存到oracle数据库中-Use carrot2 implemented a program to read the clustering, but also can achieve read lucene index clustering results reminders saved to oracle
snap_orginal
- 社区聚类的....................评价指标SNAP源代码-community classify SNAP
DBSCAN
- 基于密度的密度聚类算法，该算法的结果可以聚成任意的形状。-Density clustering algorithm based on density, the result of the algorithm can be clustered into arbitrary shape.
k-Means
- k-means算法的java实现，自动聚类算法。是基于距离来进行聚类-k-means algorithm to achieve the java automatic clustering algorithm. Based on the distance to the cluster