Interactive Computations

Use the free Wolfram Mathematica Player to interact with the math behind NUMB3RS.


                   COLBY

          Gives us eleven points, including the

          meth lab.  I see a map with a bunch of

          dots on it -- I figure you can tell

          me something -- maybe even find his

          stash house --

Basic Statistics of Movable Points

See how various location measures (such as arithmetic mean, median, root-mean-square, geometric mean, and harmonic mean) change as you move points around.


                   CHARLIE

          We know the order that the locations

          were arrived at -- what about doing a

          time series analysis of overlapping

          Dirichlet Tessellations?



Larry considers this for a beat -- then --



                   LARRY

          Wow.

Voronoi Diagrams

The Voronoi diagram (also called Dirichlet tessellation) for a set of points S in the plane is a partition of the plane into convex polygons, each of which consists of all the points in the plane closer to one particular point of S than to any other.


Colby sits at a computer, running through a SERIES OF MUG

SHOTS as Don enters...



                   DON

          Any luck?



                   COLBY

          Facial recognition software, my brain

          is not.  But I've been through Intel's

          whole dossier on The New American

          Front, and I'm pretty sure he isn't in

          there.  Hooper giving us anything yet?

Emotion Tiling

Facial expressions of happiness, fear, anger, and suffering can be reduced to the shapes of eyes and mouths. As suggested by Adolphs, Tranel and Damasio, and Patrik Vuilleumier, the perceived emotions in facial expressions involve processing by the amygdala.


Charlie, Amita, and Larry a swirl of activity, as, on

THE MAP --



Almost an inversion of what we've previously seen; the

spiderwebbed cracks are faded, and the highlighted zones

are where no streets had been touched --



                   CHARLIE

          How're we doing with the cluster

          radius changes?



                   AMITA

          Almost entered --

Cluster Analysis for 2D Points

Cluster analysis groups data elements according to a similarity function. In this case, the similarity function is simply the Euclidean distance function, which allows us to group them into clusters automatically based on how close they are.