diff --git a/README.md b/README.md
index 2ce45536..23b56f1d 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 ## Build Status
 
 | Linux / MacOS                 | Windows                       |
-|-------------------------------| ----------------------------- |
+| ----------------------------- | ----------------------------- |
 | [![][circleci]][circleci-lnk] | [![][appveyor]][appveyor-lnk] |
 
 
@@ -39,7 +39,7 @@ Currently supports the following feature classes:
 
  - First Order Statistics
  - Shape-based (2D and 3D)
- - Gray Level Cooccurence Matrix (GLCM)
+ - Gray Level Co-occurrence Matrix (GLCM)
  - Gray Level Run Length Matrix (GLRLM)
  - Gray Level Size Zone Matrix (GLSZM)
  - Gray Level Dependece Matrix (GLDM)
diff --git a/docs/features.rst b/docs/features.rst
index aa3f55b9..0a6902d1 100644
--- a/docs/features.rst
+++ b/docs/features.rst
@@ -10,7 +10,7 @@ subdivided into the following classes:
 * :py:class:`First Order Statistics <radiomics.firstorder.RadiomicsFirstOrder>` (19 features)
 * :py:class:`Shape-based (3D) <radiomics.shape.RadiomicsShape>` (16 features)
 * :py:class:`Shape-based (2D) <radiomics.shape2D.RadiomicsShape2D>` (10 features)
-* :py:class:`Gray Level Cooccurence Matrix <radiomics.glcm.RadiomicsGLCM>` (24 features)
+* :py:class:`Gray Level Co-occurrence Matrix <radiomics.glcm.RadiomicsGLCM>` (24 features)
 * :py:class:`Gray Level Run Length Matrix <radiomics.glrlm.RadiomicsGLRLM>` (16 features)
 * :py:class:`Gray Level Size Zone Matrix <radiomics.glszm.RadiomicsGLSZM>` (16 features)
 * :py:class:`Neighbouring Gray Tone Difference Matrix <radiomics.ngtdm.RadiomicsNGTDM>` (5 features)
diff --git a/docs/index.rst b/docs/index.rst
index e5d8e507..b9b192fd 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -63,7 +63,7 @@ Currently supports the following feature classes:
 * :py:class:`First Order Statistics <radiomics.firstorder.RadiomicsFirstOrder>`
 * :py:class:`Shape-based (3D) <radiomics.shape.RadiomicsShape>`
 * :py:class:`Shape-based (2D) <radiomics.shape2D.RadiomicsShape2D>`
-* :py:class:`Gray Level Cooccurence Matrix <radiomics.glcm.RadiomicsGLCM>` (GLCM)
+* :py:class:`Gray Level Co-occurrence Matrix <radiomics.glcm.RadiomicsGLCM>` (GLCM)
 * :py:class:`Gray Level Run Length Matrix <radiomics.glrlm.RadiomicsGLRLM>` (GLRLM)
 * :py:class:`Gray Level Size Zone Matrix <radiomics.glszm.RadiomicsGLSZM>` (GLSZM)
 * :py:class:`Neigbouring Gray Tone Difference Matrix <radiomics.ngtdm.RadiomicsNGTDM>` (NGTDM)
diff --git a/radiomics/glcm.py b/radiomics/glcm.py
index fccd613e..04986ad0 100644
--- a/radiomics/glcm.py
+++ b/radiomics/glcm.py
@@ -43,8 +43,8 @@ class RadiomicsGLCM(base.RadiomicsFeaturesBase):
   Let:
 
   - :math:`\epsilon` be an arbitrarily small positive number (:math:`\approx 2.2\times10^{-16}`)
-  - :math:`\textbf{P}(i,j)` be the co-occurence matrix for an arbitrary :math:`\delta` and :math:`\theta`
-  - :math:`p(i,j)` be the normalized co-occurence matrix and equal to
+  - :math:`\textbf{P}(i,j)` be the co-occurrence matrix for an arbitrary :math:`\delta` and :math:`\theta`
+  - :math:`p(i,j)` be the normalized co-occurrence matrix and equal to
     :math:`\frac{\textbf{P}(i,j)}{\sum{\textbf{P}(i,j)}}`
   - :math:`N_g` be the number of discrete intensity levels in the image
   - :math:`p_x(i) = \sum^{N_g}_{j=1}{p(i,j)}` be the marginal row probabilities