Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from aset of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.
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I hope you have tested the current (rudimentary) version of Numerical Cruncher and have lots of suggestions to do. I would like to begin design work in order to create a new base upon which we can develop new algorithms and techniques, as well as bridges and adapters to existing systems such as Weka. Regarding to the user interface, I suggest we could develop a web-based system (since it is easier to manage than a windows-based interface). Things to be done: - Dataset modelling (I suggest a model which will be published in a forthcoming issue of Communications of the ACM). You can take a look at it: http://elvex.ugr.es/etexts/English/olap-oltp.pdf - Component-based kernel - Key classes standardization: Classifier, Clusterer... - Bridges to existing systems (e.g. Weka) - Easy-to-use interface, with a back-end recommender system (if possible) which should guide users through dataset exploration.
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