diff --git a/frontend/pages/clustering:_dbscan.py b/frontend/pages/clustering:_dbscan.py
index 6a8ca22..da51aa9 100644
--- a/frontend/pages/clustering:_dbscan.py
+++ b/frontend/pages/clustering:_dbscan.py
@@ -1,7 +1,6 @@
 import streamlit as st
 import matplotlib.pyplot as plt
 from sklearn.cluster import DBSCAN
-import numpy as np
 
 st.header("Clustering: dbscan")
 
diff --git a/frontend/pages/clustering:_kmeans.py b/frontend/pages/clustering:_kmeans.py
index 7be976b..69d9920 100644
--- a/frontend/pages/clustering:_kmeans.py
+++ b/frontend/pages/clustering:_kmeans.py
@@ -10,7 +10,7 @@ if "data" in st.session_state:
 
     with st.form("my_form"):
         row1 = st.columns([1,1,1])
-        n_clusters = row1[0].selectbox("Number of clusters", range(1, data.shape[0]))
+        n_clusters = row1[0].selectbox("Number of clusters", range(1,data.shape[0]))
         data_name = row1[1].multiselect("Data Name",data.select_dtypes(include="number").columns, max_selections=2)
         n_init = row1[2].number_input("n_init",step=1,min_value=1)