improve comments

hx2A · hx2A · commit 28d1e9dd6d22 · 2023-04-30T09:38:36.000-04:00
diff --git a/processing-mode/example3/example3.py b/processing-mode/example3/example3.py
@@ -1,9 +1,10 @@
 # Flocking + Clustering
 # original Flocking Sketch by Daniel Shiffman.
 # 
-# In this adaptation of Dan Shiffman's Flocking example code, the boids are
-# repeatedly clustered using the KMeans algorithm from scikit-learn. The cluster
-# labels are then used to give the boids in each cluster a unique color.
+# In this adaptation of Dan Shiffman's Flocking example, the boids are
+# repeatedly clustered using the KMeans algorithm from scikit-learn. Each Boid
+# will ignore Boids in other clusters. The cluster labels are used to give the
+# boids in each cluster a unique color.
 # 
 # An implementation of Craig Reynold's Boids program to simulate
 # the flocking behavior of birds. Each boid steers itself based on
diff --git a/processing-mode/example3/java/src/main/java/test/Example3Sketch.java b/processing-mode/example3/java/src/main/java/test/Example3Sketch.java
@@ -6,10 +6,10 @@
  * Flocking + Clustering
  * original Flocking Sketch by Daniel Shiffman.
  * 
- * In this adaptation of Dan Shiffman's Flocking example code, the boids are
- * repeatedly clustered using the KMeans algorithm from scikit-learn. The
- * cluster labels are then used to give the boids in each cluster a unique
- * color.
+ * In this adaptation of Dan Shiffman's Flocking example, the boids are
+ * repeatedly clustered using the KMeans algorithm from scikit-learn. Each Boid
+ * will ignore Boids in other clusters. The cluster labels are used to give the
+ * boids in each cluster a unique color.
  * 
  * An implementation of Craig Reynold's Boids program to simulate
  * the flocking behavior of birds. Each boid steers itself based on

Original file line number	Diff line number	Diff line change
`@@ -1,9 +1,10 @@`
`1`	`1`	`# Flocking + Clustering`
`2`	`2`	`# original Flocking Sketch by Daniel Shiffman.`
`3`	`3`	`#`
`4`		`-# In this adaptation of Dan Shiffman's Flocking example code, the boids are`
`5`		`-# repeatedly clustered using the KMeans algorithm from scikit-learn. The cluster`
`6`		`-# labels are then used to give the boids in each cluster a unique color.`
	`4`	`+# In this adaptation of Dan Shiffman's Flocking example, the boids are`
	`5`	`+# repeatedly clustered using the KMeans algorithm from scikit-learn. Each Boid`
	`6`	`+# will ignore Boids in other clusters. The cluster labels are used to give the`
	`7`	`+# boids in each cluster a unique color.`
`7`	`8`	`#`
`8`	`9`	`# An implementation of Craig Reynold's Boids program to simulate`
`9`	`10`	`# the flocking behavior of birds. Each boid steers itself based on`