TypeError: __init__() got an unexpected keyword argument 'madataset_iter'

Question

My question is about K-means clustering algorithm , I keep getting the error TypeError: __init__() got an unexpected keyword argument 'madataset_iter' {it was sorted out after correcting the typo error} when I try to visualize the clusters after fitting my dataset into the model. Below my code:

##Fitting kmeans to the dataset with k=4
km4=KMeans(n_clusters=4,init='k-means++', max_iter=300, n_init=10, random_state=0)
y_means = km4.fit_predict(dataset)

#Visualizing the clusters for k=4
plt.scatter(dataset[y_means==0,0],dataset[y_means==0,1],s=50, c='purple',label='Cluster1')
plt.scatter(dataset[y_means==1,0],dataset[y_means==1,1],s=50, c='blue',label='Cluster2')
plt.scatter(dataset[y_means==2,0],dataset[y_means==2,1],s=50, c='green',label='Cluster3')
plt.scatter(dataset[y_means==3,0],dataset[y_means==3,1],s=50, c='cyan',label='Cluster4')
plt.scatter(km4.cluster_centers_[:,0], km4.cluster_centers_[:,1],s=200,marker='s', c='red', 
alpha=0.7, label='Centroids')
plt.title('Customer segments')
plt.xlabel('Annual income of customer')
plt.ylabel('Annual spend from customer on site')
plt.legend()
plt.show()

The new error i am getting is

'TypeError: '(array([False, False, False, False, False, False, False, False, False,'

Answer 1

The error message means that the KMeans constructor __init()__ does not have a madataset_iter argument. Is there a typo? Should it be metadataset_iter instead?

Otherwise you should check the KMeans function documentation or code. There is no import statement in the code example provided, so we can not look it up.

Answer 2

Assuming you are using the KMeans from sklearn , the constructor for this object does not accept any argument called madataset_iter . The other named argument you are using do appear in the documentation I linked to, so it remains unclear where you got that argument name from.