如何绘制3D群集以进行RFM分析？

如何解决如何绘制3D群集以进行RFM分析？

我有一个带有RFM分析项目的客户细分。我按照RFM级别将客户分为“不能放松”，“忠诚”，“冠军”等组。有7个不同的组。

我需要3D群集图。我有一个Example 3D Plot.，按频率，频率，货币分类，但是它有3个不同的簇。我需要7个不同的群集。那我该怎么做RFM级别的3D图？

Photo of my Dataset

import plotly.graph_objs as go
import plotly as py

x3 = data[['R_Quartile','F_Quartile','M_Quartile']].iloc[:,:].values 

algorithm = (KMeans(n_clusters = 3,init='k-means++',n_init = 10,max_iter=300,tol=0.0001,random_state= 111,algorithm='elkan') )
algorithm.fit(x3)
labels3 = algorithm.labels_
centroids3 = algorithm.cluster_centers_

data['label3'] =  labels3
trace1 = go.Scatter3d(
    x= data['recency'],y= data['frequency'],z= data['monetary'],mode='markers',marker=dict(
        color = data['label3'],size= 1,line=dict(
            color= data['label3'],width= 12
        ),opacity=0.8
     )
)
data_temp = [trace1]
layout = go.Layout(
#     margin=dict(
#         l=0,#         r=0,#         b=0,#         t=0
#     )
    title= 'Clusters',scene = dict(
            xaxis = dict(title  = 'R'),yaxis = dict(title  = 'F'),zaxis = dict(title  = 'M')
        )
)
fig = go.Figure(data=data_temp,layout=layout)
py.offline.iplot(fig)