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Point Symmetry Clustering Approach Using Differential Evolution
Implementation of Point Symmetry-based Automatic Clustering
Approach Using Differential Evolution
Using bug fixed KD tree nearest neighbor search from https://github.com/CristianDallos/kmeansclustering. (It is also modified to search for multiple nearest points instead only for one.)
Used those academic works for algorithm implementation:
http://cs.cug.edu.cn/teacherweb/gwy/Publication/ISICA-09.pdf
http://www.isical.ac.in/~sanghami/ieeetkde_cameraready.pdf
http://www.softcomputing.net/smca-paper1.pdf
1. ...
Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude. This gain in performance is due to a combination of novel methods that lower the complexity in practical situations significantly.
A Java implementation of a cubic B-spline curve smoothing function.
Allows an arbitary number of points with a variable number of dimensions to have a cubic B-spline curve "fitted". Useful in finance for analysing bond or swap yield and discount curves.
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