Artificial intelligence enabling components for MtxVec
Data Miner is a set of components for classification for Borland Delphi, written in 100% Visual Component Library (VCL). The algorithms included cover:
- k-nearest neighbor (KNN)
- Naive Bayes
- plus a third completely new Linear Classifier algorithm.
Data Miner for Delphi/C++ Builder
The algorithms can work on real and discrete data and can be connected to a TDataSet descendant. They appropriately handle missing data and are all capable of incremental learning.
The package includes a demo with reference results on standard domains, examples of usage and performance tests.
The package also contains a 9-page document giving the user a rush introduction to all the key characteristics of classification algorithms. The classification algorithms of Data Miner are used to tackle the same kind of problems for which neural networks are used.Data miner is currently available for Delphi/C++ Builder (Visual Studio .NET version is coming soon)