Typo in normalization_type and HTML

hosseinmoein · Nov 3, 2023 · cdcf373 · cdcf373
1 parent 3d8fe69
commit cdcf373
Show file tree

Hide file tree

Showing 2 changed files with 10 additions and 8 deletions.
diff --git a/docs/HTML/NormalizeVisitor.html b/docs/HTML/NormalizeVisitor.html
@@ -85,10 +85,11 @@
     simple = 1,           // <div class="frac"> <span>V</span> <span class="symbol">/</span> <span class="bottom">&sum; x<sub>i</sub></span> </div>
     euclidean = 2,        // <div class="frac"> <span>V</span> <span class="symbol">/</span> <span class="bottom"><span>&radic;<span style="text-decoration:overline;">&sum; x<sub>i</sub><sup>2</sup></span></span> </div>
     maxi = 3,             // <div class="frac"> <span>V</span> <span class="symbol">/</span> <span class="bottom">MAX(x<sub>i</sub>)</span> </div>
-    min_max = 4,          // <div class="frac"> <span>V - μ(V)</span> <span class="symbol">/</span> <span class="bottom">σ(V)</span> </div>
-    decimal_scaling = 5,  // <div class="frac"> <span>V</span> <span class="symbol">/</span> <span class="bottom">10<sup>MAX(x<sub>i</sub>)</sup></span> </div>
-    log_transform = 6,    // Ln(V)
-    root_transform = 7,   // &radic;<span style="text-decoration:overline;">V</span>
+    z_score = 4,          // <div class="frac"> <span>V - μ(V)</span> <span class="symbol">/</span> <span class="bottom">σ(V)</span> </div>
+    min_max = 5,          // <div class="frac"> <span>V - MIN(V)</span> <span class="symbol">/</span> <span class="bottom">MAX(V) - MIN(V)</span> </div>
+    decimal_scaling = 6,  // <div class="frac"> <span>V</span> <span class="symbol">/</span> <span class="bottom">10<sup>MAX(x<sub>i</sub>)</sup></span> </div>
+    log_transform = 7,    // Ln(V)
+    root_transform = 8,   // &radic;<span style="text-decoration:overline;">V</span>
 };
       </font></B></PRE>
       </td>

diff --git a/include/DataFrame/DataFrameTypes.h b/include/DataFrame/DataFrameTypes.h
@@ -471,10 +471,11 @@ enum class  normalization_type : unsigned char  {
     simple = 1,           // V / sum(xi)
     euclidean = 2,        // V / sqrt(sum(xi^2))
     maxi = 3,             // V / max(xi)
-    min_max = 4,          // (V - μ(V)) / σ(V)
-    decimal_scaling = 5,  // V / 10^max(xi) order
-    log_transform = 6,    // ln(xi)
-    root_transform = 7,   // sqrt(xi)
+    z_score = 4,          // (V - μ(V)) / σ(V)
+    min_max = 5,          // (V - min(V)) / (max(V) - min(V))
+    decimal_scaling = 6,  // V / 10^max(xi) order
+    log_transform = 7,    // ln(xi)
+    root_transform = 8,   // sqrt(xi)
 };
 
 // ----------------------------------------------------------------------------