搜索资源列表
CART
- 数据挖掘算法，K-means聚类算法源代码，用于聚类分析-data mining algorithms, K-means clustering algorithm source code for the cluster analysis
fuzzy_k_means
- 数据挖掘算法，fuzzy-K-means聚类算法源代码，用于模糊聚类分析-data mining algorithms, fuzzy-K-means clustering algorithm source code for Fuzzy Cluster Analysis
KMEANS01
- This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers u
FUZZCLUST
- 里面是一些大家很可能常用到的聚类分析方法有像K均值等分析法，希望能为大家提供一些帮助。-There is probably some people used to the cluster analysis methods such as K-means analysis, We hope to provide some help.
KMEANS
- The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers using the K-means algorithm. Output isdirected to the screen.-The KMEANSprogram accepts input consisti Vi of vectors and calculates the givennumbe
fdfsfsfsfsfs
- 人工选择聚类中心，用k-means聚类方法对图像进行分割，效果不错的-artificial selection cluster center, k-means clustering method for image segmentation, the good results
Cluster
- 机器学习和数据挖掘中常用的K-means聚类算法，包含两个文件，kmeans.py是Python实现代码，bank-data.csv是测试数据-Machine learning and data mining commonly used K-means clustering algorithm contains two files, kmeans.py is a Python implementation code, bank-data.csv test data
Kmeans-Cluster
- K means Clustering Algorithm on VBA
K_means
- K-Means算法是一种 cluster analysis 的算法，其主要是来计算数据聚集的算法，主要通过不断地取离种子点最近均值的算法-K-Means cluster analysis
K-means_C
- 用K-means算法实现数据聚类。首先利用C随机产生800个数据，并将这800个数据作为一组训练样本；其次利用K-means的原理跟方法将这组样本聚类成8个类，从而实现数据的分类。-Data Clustering with K-means Algorithm. First, 800 data were randomly generated by C and the 800 data were used as a set of training samples. Secondly, the K-m
99273863K-means-clustering-algorithm
- K-均值聚类算法。可自由输入初始聚类中心的个数和其坐标。(K- means clustering algorithm. The number of initial cluster centers and its coordinates can be freely entered.)
k-means_old-faithful-master
- k-means属于划分法的聚类算法，能够见数值样本按照一定的规律划分为用户指定的类别(The goal of the algorithm is to partition a given dataset into a user-specified number of clusters, k, and obtain the similarity between samples of the same cluster rather than the different clusters)
kmeans2
- 用于构建数据概要，用于分类、模式识别、假设生成和测试；用于异常检测，检测远离群簇的点。(Used to build data outlines for classification, pattern recognition, hypothesis generation and testing; for anomaly detection, detecting points away from the cluster.)
cluster
- 快速搜索与发现密度峰值聚类方法来确定聚类中心(Clustering by fast search and find of density peaks)
zolam
- KMEANS Trains a k means cluster model CENTRES KMEANS(CENTRES,()
MeanShiftCluster
- 该算法实现了均值漂移聚类算法，在MATLAB平台下有很好的结果验证(MeanShiift Cluster, it improves the performance than tradional cluster algorithm, such k-means cluster algorithm.)
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- KMEANS Trains a k means cluster model CENTRES KMEANS(CENTRES,()
Cluster
- 常用聚类算法，包括k-means，k_mediods等(clustering algorithm)
Untitledk
- k-means聚类分析，用于聚类分析算法，距离聚类(K-means cluster analysis)
kmeans
- 利用k均值聚类算法对数据进行聚类分析（数据点通过随机生成）(Using k-means clustering algorithm to cluster data (data points are generated randomly))