搜索资源列表
enframe
- 隐马尔可夫模型中的训练程序中的数据进行分类，分类以后进行聚类-HMM clustering data in the training program categorize later
real-data-k-means
- this is beneficial for using kmeans clustering for real datasets uci -this is beneficial for using kmeans clustering for real datasets uci
LEACH
- LEACH - Wireless sensor networks(Low Energy Adaptive Clustering Hierarchy protocol)
Parallel-axis
- 平行坐标轴是可视化的一种传统方法，用于模式识别聚类等，数据是‘鸢尾花数据集’，有较好的分类效果。-Parallel to the axis is a traditional way to visualize, used for clustering and pattern recognition, data is the iris data set, have better classification effect.
Delete
- 这是一个重要的MATLAB的聚类算法。他能帮助我们快速的实现聚类的目的-This is an important MATLAB clustering algorithm. He can help us achieve the purpose of clustering quickly.
km
- 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。 该算法的最大优势在于简洁和快速。算法的关键在于初始中心的选择和距离公式。 -First, choo
ffffff
- leach分簇优化,其中包含节点分布图，能量图，数据传输图，适合写论文做仿真-leach clustering optimization, which includes the nodes distribution, energy diagrams, data transmission diagram for writing papers do simulation
AntBasedClustering
- ant based clustering
kmeans
- kmeans均值聚类，通过一个小程序展示通过聚类进行无监督识别的方法-kmeans means clustering, showing unsupervised clustering method identified by a small program
Untitled2
- color based segmentation using k means clustering
Cluster_DBSCAN_txt
- DBSCAN算法；读取文本数据；聚类表示；简单快速-DBSCAN algorithm read text data clustering representation simple and fast
csk-means
- 这是一种我自己比较满意的K-means聚类算法，通过对原始的K-means进行改进而来。-This is a way I quite satisfied with K-means clustering algorithm, through the original K-means to improve from.
src
- 在spark上对一个包含电影信息，流派等信息的聚类-Movie information contained on the spark a, genre information such as the clustering
k-mean-clustering
- k-means algorithm descr iption with examples with visual basic code.
meanshift
- 均值漂移算法是一种基于颜色特征的无参密度估计算法，被人们广泛的应用于图像滤波、聚类分析和目标跟踪等领域。-Mean shift algorithm is a nonparametric density estimation algorithm based on color feature, which is widely used in the fields of image filtering, clustering analysis and target tracking.
KMeans
- vs2013实现的k-means聚类算法，是一个2维点集的聚类演示程序-Vs2013 implementation of the K-means clustering algorithm, is a 2 dimensional point set of the clustering demonstration program
KMeans-Picture
- Vs2013实现的K-Means聚类算法，把256^3颜色进行聚类，用少量颜色进行替换-Vs2013 implementation of the K-Means clustering algorithm, the 256^3 color clustering, with a small number of colors to replace
kmeans
- 经典的kmeans聚类算法，完全可以运行，帮助学习聚类思想，大家相互交流。-Kmeans classical clustering algorithm, can run, help learning clustering ideas, we exchange.
DBSCANexample
- 利用经典的基于密度的聚类算法DBSCAN实现对三类高斯数据实现分类-Classical density-based clustering algorithm to achieve the three Gaussian DBSCAN data to classify
K-means
- 经典的K均值聚类，源码加利用三维高斯简单数据的实现对三类数据的聚类-Achieve the effect of classical K-means clustering, plus simple data