搜索资源列表
Fuzzy-k-means
- 模糊核聚类及几篇文章,用于数据和图像的模糊聚类分割,效果还行-nuclear fuzzy clustering and articles for data and image segmentation fuzzy clustering, the results were OK
yk-kMEANS_3
- k-均值算法实现聚类,已经带有测试数据,vc++6-k-means clustering algorithm has been tested with data vc 6
k-means聚类算法
- 实现数据的聚类操作,代码简洁易用!
K-均值聚类算法
- K-均值聚类算法,对数据进行聚类分析,可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
K_average
- k均值聚类或者成为均值聚类,用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
zhaolong-----shujuwajue
- 一个经典数据挖掘算法的实现 1、 实现经典数据挖掘算法k-means 2、 使用数据挖掘算法从数据集中发现知识 -A classic data mining algorithm is realized 1, realize the classic data mining algorithm k- means 2, the use of data mining algorithm from the dataset found knowledge
IsoDataaK-means
- 是用VS6.0编写的程序。实现了模式识别中的ISODATA算法和K均值算法。内附有测试数据。-made by VS6.0 C++ Isodata K-means
K-Means
- 这个目录包含了K - means算法的代码实现。源代码可以发现在KMEANS.CPP。样本数据isfound在KM2.DAT。 KMEANS程序接受输入向量的组成和计算使用K - means算法的集群中心。输出被定向到屏幕上。 -This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.D
11
- K均值,随机产生一组数据并加以聚类,是学习图像处理的基础-K-means, random values, and clustering
k-means
- 数据挖掘-聚类分析:k-平均(k-Means)算法实现(C++) -Data Mining- Cluster Analysis: k-average (k-Means) algorithm (C++)
Fuzzy-c-means-clustering-algorithm-
- k均值算法是模式识别的聚分类问题,采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
K-means
- 在诸多的图像分割算法中,K-means聚类方法体现出了高效性和简洁性。该代码完整实现了k-means算法,并利用该算法进行图形分割。k-means 算法接受参数 k,然后将事先输入的n个数据对象划分为 k个聚类以使得所获得的聚类满足:同一聚类中的对象相似度较高,不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”(引力中心)来进行计算的。-This code implements the K-means method for image segmentation,
k-means
- k—均值算法opencv代码实现。 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
- 数据挖掘,或者适用opencv上的图像处理功能-Image processing functions of data mining, or apply on opencv
k-means-picture
- k-means图像分割,数据仓库与数据挖掘大作业,不同于其他k-means图像分割,k-means算法为自己编辑,而非调用matlab k-means函数,刚出成绩上传的-k-means
k-means-iris
- 运用k-means算法对IRIS数据集进行聚类分析-K-means algorithm is appliled to do cluster analysis for IRIS dataset.
fuzzy-K-means
- 代码是一种数据挖掘算法,fuzzy-K-means,对数据进行分类-The code is a data mining algorithms, fuzzy-K-means, data classification
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
K-Means PCA降维
- K-Means算法,不要求建立模型之后对结果进行新的预测,没有相应的标签,只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the character
PCA-K
- 该算法主要包含PCA算法和K-Means聚类算法,用于SAR变化检测,包含数据图片。(The algorithm mainly includes PCA algorithm and K-means clustering algorithm for SAR change detection, including data images.)