def ica(data,data2,output,y):
j=[]
for i in range(1,13):
ica = FastICA(n_components=i)
ica.data = ica.fit_transform(data)
j.append(error(ica.data,y))
plt.figure(figsize=(8, 8))
plt.xlabel('the number of independent component', fontsize=16)
plt.ylabel('error rate', fontsize=16)
plt.title(f'ICA: {data2}', fontsize=20)
plt.savefig(output)
j.append(error(ica.data,y))
plt.figure(figsize=(8, 8))
plt.xlabel('the number of independent component', fontsize=16)
plt.ylabel('error rate', fontsize=16)
plt.title(f'ICA: {data2}', fontsize=20)
plt.savefig(output)
ica(x_cancer,"Breast Cancer","ICAcancer.png",y_cancer)
ica(x_diabetes,"Diabetes","ICA.diab.png", y_diabetes)
ica = FastICA(10)
ica.data = ica.fit_transform(x_diabetes)
elbow(20,ica.data,"diaelbow.ica.png","Diabete Fit ICA")
EM(ica.data,"Diabites fit ICA","ICADIabetesicaEM.png")
ica = FastICA(4)
ica.data = ica.fit_transform(x_cancer)
elbow(10,ica.data,"cancerICAfit.png","Cancer Fit ICA")
EM(ica.data,"cancerfit ICA","ica4cancerem.png")
def rca(data,data2,output,y):
plt.figure(figsize=(8, 8))
for round in range(1,20):
