diff --git a/CLUEstering/CLUEstering.py b/CLUEstering/CLUEstering.py
index 3f89652d..f77d7e5c 100644
--- a/CLUEstering/CLUEstering.py
+++ b/CLUEstering/CLUEstering.py
@@ -292,9 +292,9 @@ def _read_array(self, input_data: Union[list, np.ndarray]) -> None:
             if len(input_data) < 2 or len(input_data) > 11:
                 raise ValueError("Inadequate data. The supported dimensions are between" +
                                  "1 and 10.")
-            self.clust_data = clustering_data(np.asarray(input_data[:-1]).T,
-                                              np.copy(np.asarray(input_data[:-1]).T),
-                                              np.asarray(input_data[-1]),
+            self.clust_data = clustering_data(np.asarray(input_data[:-1], dtype=float).T,
+                                              np.copy(np.asarray(input_data[:-1], dtype=float).T),
+                                              np.asarray(input_data[-1], dtype=float),
                                               len(input_data[:-1]),
                                               len(input_data[-1]))
         # [[[x0, y0, z0, ...], [x1, y1, z1, ...], ...], [weights]]
@@ -302,9 +302,9 @@ def _read_array(self, input_data: Union[list, np.ndarray]) -> None:
             if len(input_data) != 2:
                 raise ValueError("Inadequate data. The data must contain a weight value" +
                                  "for each point.")
-            self.clust_data = clustering_data(np.asarray(input_data[0]),
-                                              np.copy(np.asarray(input_data[0])),
-                                              np.asarray(input_data[-1]),
+            self.clust_data = clustering_data(np.asarray(input_data[0], dtype=float),
+                                              np.copy(np.asarray(input_data[0], dtype=float)),
+                                              np.asarray(input_data[-1], dtype=float),
                                               len(input_data[0][0]),
                                               len(input_data[-1]))
 
@@ -329,7 +329,7 @@ def _read_string(self, input_data: str) -> Union[pd.DataFrame,None]:
 
         if not input_data.endswith('.csv'):
             raise ValueError('Wrong type of file. The file is not a csv file.')
-        df_ = pd.read_csv(input_data)
+        df_ = pd.read_csv(input_data, dtype=float)
         return df_
 
     def _read_dict_df(self, input_data: Union[dict, pd.DataFrame]) -> pd.DataFrame:
@@ -351,7 +351,7 @@ def _read_dict_df(self, input_data: Union[dict, pd.DataFrame]) -> pd.DataFrame:
             Dataframe containing the input data
         """
 
-        df_ = pd.DataFrame(input_data, copy=False)
+        df_ = pd.DataFrame(input_data, copy=False, dtype=float)
         return df_
 
     def _handle_dataframe(self, df_: pd.DataFrame) -> None:
diff --git a/setup.py b/setup.py
index d15c43be..d13bf820 100644
--- a/setup.py
+++ b/setup.py
@@ -4,7 +4,7 @@
 from pathlib import Path
 from setuptools import setup
 
-__version__ = "2.2.3"
+__version__ = "2.2.4"
 
 this_directory = Path(__file__).parent
 long_description = (this_directory/'README.md').read_text()