搜索资源列表
cluster-3.6.5
- 一种数据聚类算法的源码，可以在模式识别和图像处理中试用。 -a data clustering algorithm source code, in pattern recognition and image processing trial.
c_means
- C均值法，用于模式识别中的聚类算法。非常好用！-C - Means method for pattern recognition algorithm for clustering. Very handy!
kmean
- 这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
Kmedoid
- Kmedoid 是类似于Kmean的Clustering method。
Model_simplification_using_vertex-clustering
- 有关CAD/CAM的资料,希望对大家有帮助
amodifiedKmeans
- An Efficient K-Means Clustering Algorithm.
cluster-1.36.tar
- source codes for clustering algorithm
SPy-0.3
- Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
NN3
- 主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.
clustering
- 几种数据挖掘中聚类的几种算法介绍：rock,sprint,birch（英文版的）
clustering
- 一个聚类算法用K-mean处理后迭代，论文发表在PAK
new-fuzzy-clustering
- 本文目前模糊C-均值聚类算法不适用于有噪声和样本不均衡等问题,借助改进算法AFCM和WFCM的思想,提出另一种新的聚类算法。它是AFCM和WAFCM结合的一种算法,但有着更好的健壮性和聚类效果。
dbscan
- DBSCAN是一个基于密度的聚类算法。改算法将具有足够高度的区域划分为簇，并可以在带有“噪声”的空间数据库中发现任意形状的聚类。-DBSCAN is a density-based clustering algorithm. Algorithm change will have enough height to the regional cluster. and to be with the \"noise\" of the spatial database found clusters of
oefai-tr-2003-09
- A New Approach to Hierarchical Clustering
Medoidshift
- 中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。 MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
lbg
- 矢量量化聚类程序，c++编写，已调试通过，内附说明文档。-VQ clustering procedure, c preparation, testing, documentation attached.
clustering
- 1. 分层次聚类法（最短距离法） 2. 最简单的聚类方法 3. 最大距离样本 4. K 平均聚类法（距离平方和最小聚类法）
kmeans
- kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in an array.
LEGClust-new
- LEGClust算法更新，上次上传的代码发现有些问题，现已更正，A Clustering Algorithm Based on Layered Entropic Subgraphs
misc
- Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian m