- Category:
- Data Mining
- Tags:
-
- File Size:
- 4kb
- Update:
- 2018-04-30
- Downloads:
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- Uploaded by:
- doudou854
Description: The k nearest neighbor algorithm in pattern recognition has been tested and the result is very good.
Minimum distance classifier: it divides all kinds of training samples into several sub classes and identifies the representative points in each sub class. The categories of test samples are made recently by making decisions with these representatives. The disadvantage of this method is that the selected representative points do not necessarily represent the various types well, and the consequences will increase the error rate.
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| knn\Knn.cpp | 4103 | 2009-06-30
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| knn\Knn.cpp.bak | 3861 | 2009-06-30
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| knn\Knn.h | 407 | 2009-06-29
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| knn\Knn.h.bak | 407 | 2009-06-29
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| knn\main.cpp | 946 | 2018-04-30
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| knn\main.cpp.bak | 1166 | 2009-06-30
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| knn\testdata.txt | 782 | 2009-06-30
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| knn\testdata.txt.bak | 0 | 2009-06-30
|
| knn | 0 | 2018-04-30 |
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