Python k-nearest algorithm for classification of glass data sets
2017-12-13
1 0 0
no vote
Other
Earn points
This program uses Python 2.7 to write KNN (k-nearest) algorithm to achieve data classification. KNN is a simple and commonly used algorithm in machine learning and data mining. The author uses glass data set as data source to classify it successfully. The compressed package contains complete code to implement the algorithm( KNN.py )And glass datasets( glass.txt ).
Related Source Codes
Android AOA Android Open Accessory Development Usi
0
0
no vote
Golang AOA Android Open Accessory HID Control
0
0
no vote
PClite
0
0
no vote
GMSK Linear Receiver
0
0
no vote
The golden version of AFT that has been passed dow
0
0
no vote
No comment