From a71f616d3ea8cfb4da42009985d136b935cceeea Mon Sep 17 00:00:00 2001
From: Jaques Grobler <jaquesgrobler@gmail.com>
Date: Tue, 15 Jan 2013 14:36:00 +0100
Subject: [PATCH] typo fix and heading changes
---
examples/cluster/plot_color_quantization.py | 2 +-
examples/cluster/plot_mini_batch_kmeans.py | 2 +-
examples/svm/plot_svm_scale_c.py | 6 +++---
3 files changed, 5 insertions(+), 5 deletions(-)
diff --git a/examples/cluster/plot_color_quantization.py b/examples/cluster/plot_color_quantization.py
index f6f9756042..620788a808 100644
--- a/examples/cluster/plot_color_quantization.py
+++ b/examples/cluster/plot_color_quantization.py
@@ -39,7 +39,7 @@ n_colors = 64
china = load_sample_image("china.jpg")
# Convert to floats instead of the default 8 bits integer coding. Dividing by
-# 255 is important so that pl.imshow behaves works well on foat data (need to
+# 255 is important so that pl.imshow behaves works well on float data (need to
# be in the range [0-1]
china = np.array(china, dtype=np.float64) / 255
diff --git a/examples/cluster/plot_mini_batch_kmeans.py b/examples/cluster/plot_mini_batch_kmeans.py
index 98a5d84a54..6ef66f6bce 100644
--- a/examples/cluster/plot_mini_batch_kmeans.py
+++ b/examples/cluster/plot_mini_batch_kmeans.py
@@ -1,6 +1,6 @@
"""
====================================================================
-Comparison of the KMeans clustering and MiniBatchKMeans Algorithms
+Comparison of the K-Means clustering and MiniBatchKMeans Algorithms
====================================================================
We want to compare the performance of the MiniBatchKMeans and KMeans:
diff --git a/examples/svm/plot_svm_scale_c.py b/examples/svm/plot_svm_scale_c.py
index 13fe094e10..164d80b5ae 100644
--- a/examples/svm/plot_svm_scale_c.py
+++ b/examples/svm/plot_svm_scale_c.py
@@ -1,7 +1,7 @@
"""
-=========================================================================
-Support Vector Classification (SVC): scaling the regularization parameter
-=========================================================================
+==============================================
+Scaling the regularization parameter for SVCs
+==============================================
The following example illustrates the effect of scaling the
regularization parameter when using :ref:`svm` for
--
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