I have a basic code for use Kmeans with sklearn

    scaled = MinMaxScaler().fit_transform(points)

    kmeans = KMeans(n_clusters=nb_clusters) # , random_state=42 , init='random', algorithm='elkan'
    kmeans.fit(scaled)
    labels = kmeans.labels_
    centroids = kmeans.cluster_centers_

But i don’t success to have my two groups well separated

Does someone know what’s wrong or what is lacking please ?

Thank you in advance.