Artificial intelligence and molecular biology
AI Magazine - Reports from three of the 1990 Spring symposia and eight workshops held over the past two years
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Scalable Parallel Clustering for Data Mining on Multicomputers
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
P-AutoClass: Scalable Parallel Clustering for Mining Large Data Sets
IEEE Transactions on Knowledge and Data Engineering
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The application of an Autoclass III machine-learning algorithm for heuristic Bayesian classification to independently confirm and provide new information about structural classes of proteins is discussed. Bayesian classification and Autoclass III systems are reviewed. The decisions concerning and data representations and where to begin searching the space of potential classifications are discussed. Results of the application, in terms of classification patterns, relationship to traditional classes, higher-order structure, and class composition, are presented.