搜索资源列表
Improved K-means
- 基于数据密度自动计算最佳K聚类中心,对数据进行聚类(The best K clustering center is automatically calculated based on data density to cluster data.)
K-TimeLeft
- 显示当前K线剩余时间 在交易时提示时间戳 及时交易 这个指标的作用是显示当前K线剩余时间,以时分秒的方式显示数据,数据的位置可以跟随K线,也可以固定在图表任意位置(双击后任意移动它)。(show you K last time)
C#股票K线走势图源代码
- C#股票K线走势图加技术指标源代码Source Code(C# Stock K-Line Trend Chart plus Technical Indicators Source Code)
基于粒子群优化的k均值
- 基于粒子群优化的k均值,可以对实验对象进行定性分类(Based on the k-means of particle swarm optimization, the experimental objects can be qualitatively classified)
K型热电偶MAX6675的驱动程序
- K型热电偶MAX6675的驱动程序,此驱动部分已经在产品中使用(K type thermocouple MAX6675 driver, the driver section has been used in the product)
k-近邻点估计点云法向量
- 利用matlab实现k-近邻点估计点云法向量求解,(Matlab is used to solve the normal vector of k-nearest neighbor point cloud.)
基于K-SVD字典学习程序
- 基于K-SVD字典学习程序,自适应学习字典(Dictionary learning program based on K-SVD)
三精度K型热电偶分度表
- K型电热耦 分度表,从-270到1300度,对应有每个电压值,单位是mv,对单片机测温有帮助(K-type electro-thermocouple scale, ranging from -270 to 1300 degrees, should be for each voltage value, unit is mv, which is helpful for temperature measurement by single chip microcomputer)
K线预测指标
- 主要K线形态。对于识别类可以作为完整的包使用(The main K-line shape. Identifying classes can be used as complete packages)
K型热电偶测温驱动库
- K型热电偶驱运放放大后,使用插值法测温的驱动库, 方便移植到不同平台(After amplification of K-type thermocouple drive amplifier, the driver library of temperature measurement by interpolation method is used to facilitate transplantation to different platforms.)
k
- 几个lsdyna书中例子的k文件,仅供参考(ansys ls-dyna k file)
k means
- k means 聚类算法,适用于供应链,物流,选址等配送中心或需求点的筛选聚类(It applies for the field of supply chain, logistics, hub location to cluster the Dcs or demand points.)
K线倒计时
- MT4 k线剩余时间,适合各个周期,有1分钟,5分钟,15分钟,30分钟,1小时,4小时,1天,1周,1月(MT4 K Line Remaining Time)
K-means聚类
- 应用K-means聚类算法,实现对iris数据集的分类(Using K-means clustering algorithm to realize the Classification of iris dataset)
C# .net K线 图表 指标 画线
- C#K图 指标画线都有 可下载 用于股票(C#K Index line drawing)
多周期K线指标M-Candles
- MT4版本的多周期K线指标,很实用的指标(MT4 version of the multi-cycle K-line index, very practical indicators)
绘制K线图源码
- 利用python实现股票K线图的绘制,经过运行没有问题(Drawing K-line of stock with Python)
基于Zigzag的K线趋势拐点识别算法设计与实现
- 识别趋势反转,有详细的实现算法说明,对于研究K线反转形态很有参考价值。(It has a detailed algorithm descr iption to identify the trend reversal, which is of great reference value for the study of K-line reversal pattern.)
k-means
- k-means实战,包括一个具体的例子。非常适合初级学习k-means聚类算法的人群(K-means actual combat, including a specific example)
k-means
- k-means算法实现的数据分类,python代码,可直接运行(K-means algorithm to achieve data classification, Python code, can be run directly)