Weka (1)

Download Weka

wersja bez środowiska uruchomieniowego Java

http://sourceforge.net/project/downloading.php?group_id=5091&use_mirror=kent&filename=weka-3-5-6.exe&69128736

gdy brak środowiska uruchomieniowego Java (JRE) proszę pobrać:
http://sourceforge.net/project/downloading.php?group_id=5091&use_mirror=ovh&filename=weka-3-5-6jre.exe&31964478

K-means

http://home.dei.polimi.it/matteucc/Clustering/tutorial_html/AppletKM.html

1. Place K points into the space represented by the objects that are being clustered. These points represent initial group centroids.
2. Assign each object to the group that has the closest centroid.
3. When all objects have been assigned, recalculate the positions of the K centroids.
4. Repeat Steps 2 and 3 until the centroids no longer move. This produces a separation of the objects into groups from which the metric to be minimized can be calculated.

Przydatne linki

http://weka.sourceforge.net/wiki/index.php/Main_Page