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Non-disjoint groupping of Documents based on word sequence approach
This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint
clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported
by WEKA could be used in DocCO. Data could be loaded from files, from
databases or from specified URL. All the preprocessing techniques implemented in
WEKA could be used before performing the learning.
QMC Logic Minimizer is a versatile application for fast simplifying truth and reduce lines tables. This program offers a comfortable user interface for generating and minimizing of the combinational logic functions. It is unique for its possibility of minimizing several functions at the same time. This program is intended for practical digital devices constructors as well as formal scholars and academics.
Features:
- You can minimize up to 16 input variables and up to 16 output...