draw_cluster_analysis: draw k-mean cluster analysis result in histogram table
In seungbochoi/private_Rpackage: Stockanalysis

Description Usage Arguments Details Value Examples

draw k-mean cluster analysis result in histogram table

1	draw_cluster_analysis(df_stocks, num_center, num_start)

`df_stocks`	bunch of stocks stacked which user want to analyze
`num_center`	number of centers of clusters user might choose. There are no statisticaly proven best number. But You can use elbow-method to choose best param
`num_start`	number of random initialized starting point as a initial poitn of model training

This compute the k-means algorithm with user designed parameter. Then it will draw the histogram result. This can be used to analyze the market trend, similiarity, risk parity, and regime of the market movement for each stocks inputted

plot of cluster result from k-means