搜索资源列表
k-means聚类算法
- k-means聚类算法的代码实现，只需要更改数据就可以实现，而且有注释，很容易懂(The code implementation of the k-means clustering algorithm can be realized only by changing the data, and there are notes that make it easy to understand)
K近邻算法
- 此处用python实现机器学习k近邻算法(Implementation of k nearest neighbor algorithm for machine learning)
k-means程序
- 介绍了k-means 均值聚类，能很好的将离散的点，聚类成几个指定的聚合点。(The K-means mean clustering is introduced, and the discrete points can be well clustered into several designated aggregation points.)
Calculation-K
- 计算K线形态代码: 返回相应形态的值。例如：光头光脚阳线、光头光脚阴线、下引线阳线、上引线阴线、下引线阳线、上引线阴线、上下引线阳线、上引线阴线等等形态值(Calculate the K line form code)
K+帮助教程-可以发客户
- 金蝶K+辅助文档 ,包括自定义表单，数据库修改，榜单的制作等(Kingdee K+ auxiliary document, including custom form, database modification, list making, etc.)
K-means
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototy
K-means
- 利用MATLAB实现K均值聚类算法，加深对该算法的理解。(We use MATLAB to achieve K mean clustering algorithm to deepen our understanding of the algorithm.)
k-medoids
- k-medoids聚类算法对数据进行分类处理(k-medoids Clustering algorithm for data classification)
K-means
- K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each obse
k均值聚类算法
- 根据k均值聚类的原理，实现一些数字的聚类，但是具体类别数需要自己设置(Clustering of some numbers by K mean clustering)
K—均值聚类提取
- k均值聚类提取，适合学习。先将RGB图像转换到LAB空间，在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
k-means.py
- 通过python实现了k-means分类。(The python implementation of the K-means classification.)
K-Nearest Neighbor Classifier
- 调用于sklearn平台的K-Nearest Neighbor Classifier算法，有着较好的分类能力(The k-nearest Neighbor Classifier algorithm for sklearn platform has good classification ability.)
1、K-means学习
- 用k-meas算法对图片聚类,根据图像的颜色，聚类成若干类(Using k-means algorithom to clustering a picture)
K-means
- k-means算法主程序，已经经过测试，具体参数需要自己调整(K-means algorithm for matlab)
K-means
- 对图像用k-means算法进行处理，得到效果更好的图像(Processing the image with k-means algorithm)
K-fold-Cross-Validation-master
- 进行K折交叉验证，将数据分为K份，将1份作为TEST，剩下K-1份作为TRAINING，对TEST进行测试(K folding cross validation)
读取数据K线图
- MFC中绘制K线图，其中涉及C++编程以及K线图知识(MFC draw the K-line diagram, which involves C++ programming and K-line knowledge.)
K均值聚类
- K均值聚类算法-对数据进行聚类分析，适合数据处理(k means clustering algorithm)
k-means聚类算法
- K-MEANS聚类算法实现，方法简单，容易实现(K-MEANS clustering algorithm, simple and easy to implement.)