搜索资源列表
TextClustering
- 文本聚类算法包含 tfidf的实现 k-means算法的实现-Text clustering algorithm contains tfidf implementation of the k-means algorithm to achieve
mahy
- 基于相对密度的聚类算法（DBSCAN算法），用于处理高密度簇完全被相连的低密度簇所包含的问题-Clustering algorithm based on relative density (DBSCAN algorithm), to handle high-density clusters are completely connected to the problem of low-density cluster contains
Kmeans1
- 连接mysql数据库的k均值聚类算法，有想过还不错。-connect with mysql by k_means。Great result.
KDTree2Kmeans
- 基于kdtree的kmeans聚类算法，在选择最近邻中心点时使用kdtree的检索功能，提高了检索效率，特别是当k较大时，效果明显提升-kmeans clustering algorithm based on kdtree，used in selecting the center point of the nearest neighbor the kdtree retrieval function, and improve the retrieval efficiency has improve
java实现Kmeans
- 机器学习中的聚类算法Kmeans用java实现，本资源提供完整详细代码，无bug，可运行。
mahout-distribution-0.7-src
- 史上最新 最完整的 hadoop java 的图像聚类算法 。mahout-The history of the latest and most complete Hadoop java image clustering algorithm. mahout
DBSCAN_JAVA
- 聚类算法之DBScan(Java实现),以供此算法的初步认识！-Clustering algorithm DBSCAN (Java implementation), for an initial understanding of this algorithm!
Julei
- k平均聚类算法java Centroid.java Cluster.java DataPoint.java JCA.java-k-clustering algorithm
Kmeans
- 使用Java实现K-means（C均值）聚类算法-Using Java to achieve K-means (C mean) clustering algorithm
AGENES
- 使用Java实现AGNES聚类算法，内存要求较高，数值误设置过大-AGNES clustering algorithm using the Java implementation, high memory requirements, numerical error is set too large
cure_cluster
- java语言编写的Cure聚类算法，实现对数据点的聚类-java language Cure clustering algorithm to achieve the clustering of data points
DBSCAN_cluster
- java语言编写的 DBSCAN基于密度的聚类算法，可实现对数据点基于密度的聚类-java language DBSCAN density-based clustering algorithm can be realized on density-based clustering of data points
REDBSCAN_cluster
- 使用myeclipse打开 关于Redbscan的聚类算法，可以实现对数据点的聚类-Use myeclipse open about Redbscan clustering algorithms, data points can be achieved on clustering
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
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