diff --git a/Orange/widgets/unsupervised/owhierarchicalclustering.py b/Orange/widgets/unsupervised/owhierarchicalclustering.py
index 64d17e3ca70..d694443f5aa 100644
--- a/Orange/widgets/unsupervised/owhierarchicalclustering.py
+++ b/Orange/widgets/unsupervised/owhierarchicalclustering.py
@@ -605,10 +605,20 @@ def _rescale(self):
         else:
             drect = QSizeF(leaf_count, self._root.value.height)
 
-        transform = QTransform().scale(
-            crect.width() / drect.width(),
-            crect.height() / drect.height()
-        )
+        eps = numpy.finfo(numpy.float64).eps
+
+        if abs(drect.width()) < eps:
+            sx = 1.0
+        else:
+            sx = crect.width() / drect.width()
+
+        if abs(drect.height()) < eps:
+            sy = 1.0
+        else:
+            sy = crect.height() / drect.height()
+
+        transform = QTransform().scale(sx, sy)
+
         self._itemgroup.setPos(crect.topLeft())
         self._itemgroup.setTransform(transform)
         self._selection_items = None
@@ -817,7 +827,6 @@ def __init__(self):
         self.top_n_spin = gui.spin(self.selection_box, self, "top_n", 1, 20,
                                    callback=self._selection_method_changed)
         grid.addWidget(self.top_n_spin, 2, 1)
-        self.selection_box.layout().addLayout(grid)
 
         self.zoom_slider = gui.hSlider(
             self.controlArea, self, "zoom_factor", box="Zoom",
diff --git a/Orange/widgets/unsupervised/tests/test_owhierarchicalclustering.py b/Orange/widgets/unsupervised/tests/test_owhierarchicalclustering.py
index e32b5c2e261..ab21f7eb205 100644
--- a/Orange/widgets/unsupervised/tests/test_owhierarchicalclustering.py
+++ b/Orange/widgets/unsupervised/tests/test_owhierarchicalclustering.py
@@ -1,5 +1,7 @@
 # Test methods with long descriptive names can omit docstrings
 # pylint: disable=missing-docstring
+import numpy
+import Orange.misc
 from Orange.distance import Euclidean
 from Orange.widgets.tests.base import WidgetTest, WidgetOutputsTestMixin
 from Orange.widgets.unsupervised.owhierarchicalclustering import \
@@ -50,3 +52,7 @@ def test_selection_box_output(self):
         self.widget.selection_box.buttons[2].click()
         self.assertIsNotNone(self.get_output("Selected Data"))
         self.assertIsNone(self.get_output(ANNOTATED_DATA_SIGNAL_NAME))
+
+    def test_all_zero_inputs(self):
+        d = Orange.misc.DistMatrix(numpy.zeros((10, 10)))
+        self.widget.set_distances(d)