In this paper, we present a design methodology management system, which assists designers in selecting a suitable design process and invoking the selected sequence of tools on the...
``Object-Oriented Programming'' and ``Data Abstraction'' have become very common terms. Unfortunately, few people agree on what they mean. I will offer informa...
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
Abstract. The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation ...
Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...