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Diffstat (limited to 'knn/help-knn.pd')
| -rw-r--r-- | knn/help-knn.pd | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/knn/help-knn.pd b/knn/help-knn.pd new file mode 100644 index 0000000..14b8e5c --- /dev/null +++ b/knn/help-knn.pd @@ -0,0 +1,23 @@ +#N canvas 552 184 590 372 10; +#X obj 73 247 knn; +#X msg 142 125 normal 0; +#X msg 142 145 normal 1; +#X msg 144 200 learn 0; +#X msg 143 179 learn 1 \$1; +#X msg 145 226 save databasename; +#X msg 145 247 read databasename; +#X msg 141 101 readweights weightfilename; +#X floatatom 73 281 4 0 0; +#X text 38 30 k-NN Object This is an implementation of the k Nearest Neighbor algorithm that can be used to classify objects by a feature vector.; +#X text 318 102 Read feature weight table; +#X text 217 134 Turn on and off normalization - normalization should be on when reading a file and off when training; +#X text 233 181 Turn learning mode on and off - the second argument to 'learn 1' is number of the class for the input.; +#X text 281 236 read and save the database as a textfile; +#X connect 0 0 8 0; +#X connect 1 0 0 0; +#X connect 2 0 0 0; +#X connect 3 0 0 0; +#X connect 4 0 0 0; +#X connect 5 0 0 0; +#X connect 6 0 0 0; +#X connect 7 0 0 0; |