# Defining the number of clusters (K)
num_clusters = 4

# Initialising and fitting the KMeans model
kmeans = KMeans(n_clusters = num_clusters, n_init = 10)
cluster_labels = kmeans.fit_predict(dim_ds)
df_trimmed['ClustersK'] = cluster_labels