Table 2.

Multimodal clustering network algorithm steps.

Clustering network algorithm text	Feature descriptor description
Import matplotlib.pyplot as plt	c(i) to be divided into pieces.
From mpl_toolkits.mplot3d.axes3d import data	A more traditional method i − u(i)
From matplotlib import cm	Compared with skirts
Import numpy as np	A −1(u, x) is called the six-piece method
Private final int freame_x = 50;	y(x) in clothing design
Private final int freame_y = 50;	The multimodal element
Private final int freame_width = 600;	max(c+t) is divided into
Plt.plot(time,b,“-”, label = “conductor 1”,linewidth = 2)	(u, x) blocks of size
Plt.plot(time,b1,“-”, label = “conductor 2”,linewidth = 2)	Depth map u(i − 1)
Plt.xlabel(“time(ms)”, fontsize = 14)	Classification layer