OPEN-SOURCE SCRIPT
已更新 Function K-Means Clustering
Description:
A Function that returns cluster centers for given data (X,Y) vector points.
Inputs:
_X: Array containing x data points.¹
_Y: Array containing y data points.¹
_number_of_clusters: number of clusters.
Note:
¹: _X and _Y size must match.
Outputs:
_centers_x: Array containing x data points.
_centers_y: Array containing y data points.
Resources:
rosettacode.org/wiki/K-means++_clustering
en.wikipedia.org/wiki/K-means_clustering
A Function that returns cluster centers for given data (X,Y) vector points.
Inputs:
_X: Array containing x data points.¹
_Y: Array containing y data points.¹
_number_of_clusters: number of clusters.
Note:
¹: _X and _Y size must match.
Outputs:
_centers_x: Array containing x data points.
_centers_y: Array containing y data points.
Resources:
rosettacode.org/wiki/K-means++_clustering
en.wikipedia.org/wiki/K-means_clustering
發行說明
Update to V5 and fixed a a few errors in the code. -_-*開源腳本
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
免責聲明
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
開源腳本
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
免責聲明
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.