research reference added

rasbt · rasbt · commit 7d6d3d354008 · 2014-05-04T22:17:27.000-04:00
diff --git a/benchmarks/.ipynb_checkpoints/cython_least_squares-checkpoint.ipynb b/benchmarks/.ipynb_checkpoints/cython_least_squares-checkpoint.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"
+  "signature": "sha256:ed0de0773556cdc26dc372038810ad0e5322ec915298a90f2badf09740d856db"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -104,7 +104,9 @@
       "![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_vertical.png)  \n",
       "![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_perpendicular.png)  \n",
       "\n",
-      "Here, we will use the more common approach: minimizing the sum of the perpendicular offsets.\n"
+      "As Michael Burger summarizes it nicely in his article \"[Problems of Linear Least Square Regression - And Approaches to Handle Them](http://www.arsa-conf.com/archive/?vid=1&aid=2&kid=60101-220)\": \"the perpendicular offset method delivers a more precise result but is are more complicated to handle. Therefore normally the vertical offsets are used.\"  \n",
+      "Here, we will also use the method of computing the vertical offsets.\n",
+      "\n"
      ]
     },
     {
diff --git a/benchmarks/cython_least_squares.ipynb b/benchmarks/cython_least_squares.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"
+  "signature": "sha256:ed0de0773556cdc26dc372038810ad0e5322ec915298a90f2badf09740d856db"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -104,7 +104,9 @@
       "![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_vertical.png)  \n",
       "![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_perpendicular.png)  \n",
       "\n",
-      "Here, we will use the more common approach: minimizing the sum of the perpendicular offsets.\n"
+      "As Michael Burger summarizes it nicely in his article \"[Problems of Linear Least Square Regression - And Approaches to Handle Them](http://www.arsa-conf.com/archive/?vid=1&aid=2&kid=60101-220)\": \"the perpendicular offset method delivers a more precise result but is are more complicated to handle. Therefore normally the vertical offsets are used.\"  \n",
+      "Here, we will also use the method of computing the vertical offsets.\n",
+      "\n"
      ]
     },
     {

Original file line number	Diff line number	Diff line change
`@@ -1,7 +1,7 @@`
`1`	`1`	`{`
`2`	`2`	`"metadata": {`
`3`	`3`	`"name": "",`
`4`		`- "signature": "sha256:6fec0ff80302cd983b1b3ab4e6653aa12c291ed854c5efd69f28608d4f6af614"`
	`4`	`+ "signature": "sha256:ed0de0773556cdc26dc372038810ad0e5322ec915298a90f2badf09740d856db"`
`5`	`5`	`},`
`6`	`6`	`"nbformat": 3,`
`7`	`7`	`"nbformat_minor": 0,`
`@@ -104,7 +104,9 @@`
`104`	`104`	`"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_vertical.png) \n",`
`105`	`105`	`"![](https://raw.githubusercontent.com/rasbt/python_reference/master/Images/least_squares_perpendicular.png) \n",`
`106`	`106`	`"\n",`
`107`		`- "Here, we will use the more common approach: minimizing the sum of the perpendicular offsets.\n"`
	`107`	`+ "As Michael Burger summarizes it nicely in his article \"[Problems of Linear Least Square Regression - And Approaches to Handle Them](http://www.arsa-conf.com/archive/?vid=1&aid=2&kid=60101-220)\": \"the perpendicular offset method delivers a more precise result but is are more complicated to handle. Therefore normally the vertical offsets are used.\" \n",`
	`108`	`+ "Here, we will also use the method of computing the vertical offsets.\n",`
	`109`	`+ "\n"`
`108`	`110`	`]`
`109`	`111`	`},`
`110`	`112`	`{`