update documentation

yzhao062 · Jul 23, 2019 · a95b988 · a95b988
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diff --git a/README.rst b/README.rst
@@ -146,15 +146,15 @@ Proposed Algorithms
 
 * **Classifier combination**: combine multiple supervised classifiers together for training and prediction
 
-  1. Averaging & Weighted Averaging [#Zhou2012Ensemble]_
+  1. Averaging & Weighted Averaging & Median [#Zhou2012Ensemble]_
   2. Maximization
   3. Majority Vote & Weighted Majority Vote [#Zhou2012Ensemble]_
   4. Dynamic Classifier Selection & Dynamic Ensemble Selection [#Ko2008From]_ (work-in-progress)
   5. Stacking: build an additional classifier to learn base estimator weights (work-in-progress)
 
 * **Raw score & probability combination**: combine scores without invoking classifiers
 
-  1. Averaging & Weighted Averaging
+  1. Averaging & Weighted Averaging & Median
   2. Maximization
   3. Average of Maximum (AOM)
   4. Maximum of Average (MOA)
@@ -165,7 +165,7 @@ Proposed Algorithms
 
 * **Anomaly detection**: combine unsupervised outlier detectors
 
-  1. Averaging & Weighted Averaging
+  1. Averaging & Weighted Averaging & Median
   2. Maximization
   3. Average of Maximum (AOM)
   4. Maximum of Average (MOA)

diff --git a/docs/index.rst b/docs/index.rst
@@ -104,7 +104,7 @@ Proposed Algorithms
 
 * **Classifier combination**: combine multiple supervised classifiers together for training and prediction
 
-  1. Averaging & Weighted Averaging :cite:`a-zhou2012ensemble`
+  1. Averaging & Weighted Averaging & Median :cite:`a-zhou2012ensemble`
   2. Maximization
   3. Majority Vote & Weighted Majority Vote :cite:`a-zhou2012ensemble`
   4. Dynamic Classifier Selection & Dynamic Ensemble Selection :cite:`a-ko2008dynamic` (work-in-progress)
@@ -123,7 +123,7 @@ Proposed Algorithms
 
 * **Anomaly detection**: combine unsupervised outlier detectors
 
-  1. Averaging & Weighted Averaging
+  1. Averaging & Weighted Averaging & Median
   2. Maximization
   3. Average of Maximum (AOM)
   4. Maximum of Average (MOA)