-*- mode:Text -*-
Copyright 1992 Patrick H. Winston.  All rights reserved.
Version 1.1.1, transferred from master disk on 23 Apr 93
 
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PURPOSE

Provides program support for Chapter 19, Learning by Recording Cases.
Illustrates nearest neighbor learning using colored blocks.

PERFORMANCE EXPERIMENT 1

Examine the file kd.exp.  Run the nearest-neighbor identification
experiments by typing the following command to your lisp system:

(load "kd.exp")

Alternatively, evaluate each Lisp expression in the file one at a
time, noting what each does.

PERFORMANCE EXPERIMENT 2

Run the nearest-neighbor identification procedures with other
samples and/or with other unknowns.

MEDIUM-SCALE LISP PROJECT 1

Modify the program such that it uses samples to predict a number,
such as 10, instead of a symbol, such as BLUE.  When your
modified program is instructed to use more than one nearest
neighbor, have your program average the values provided by the
nearest neighbors.

MEDIUM-SCALE LISP PROJECT 2

Again, modify the program such that it uses samples to predict a
number, such as 10, instead of a symbol, such as BLUE.  This
time, however, when your modified program is instructed to use
more than one nearest neighbor, have your program fit a surface
to the predictions made by the nearest neighbors---using say,
least squares---and then have your program find the appropriate
point on that surface.