ART-C: A Neural Architecture for Self-Organization Under Constraints
نویسندگان
چکیده
This paper proposes a novel ART-based neural architecture known as ART-C (ART under Constraints) that performs online clustering of pattern sequences subject to the constraints on the recognition category representation. Experiments on two real-life data sets show that ART-C produces reasonably good clustering qualities, with the added advantage of high efficiency. Keywords—Adaptive Resonance Theory, Constraint clustering, Machine learning.
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