搜索资源列表
DensityBasedClustering
- Density based clustering with GUI
_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.
text_example
- text matching and clustering code in java
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.
CBIR
- Content based image retrieval in java using k-means clustering and haar wavelet transform
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
Cluster
- Clustering algorithm
kmeansCluster
- 用Java实现kmeans(画布上画点聚类)-Java implementation kmeans (on canvas painting point clustering)
EMSCluster
- Expectation-Maximization Algorithm for Clustering numerical data
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
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.
kmeans
- k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the clu
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
k-means
- k means clustering algorithm implementation in Java
METODE-HIRARKI-DAN-NEURAL-NETWORK
- This program to clustering skin based oon colour included white brown or black skin with java and naural network methdo