In this paper, a similarity-driven cluster merging method is proposed for unsupervised fuzzy clustering. The cluster merging method is used to resolve the problem of cluster validation. Starting with an overspecified number of clusters in the data, pairs of similar clusters are merged based on the proposed similarity-driven cluster merging criterion. The similarity between clusters is calculate...

One of the intended consequences of utilizing simulations in dynamic, data-driven application systems is that the simulations will adjust to new data as it arrives. These adjustments will be difficult because of the unpredictable nature of the world and because simulations are so carefully tuned to model specific operating conditions. Accommodating new data may require adapting or replacing num...

policy making in health is largely thought to be driven by three ‘i's namely ideas, interests and institutions. recent years have seen a shift in approach with increasing reliance being placed on role of evidence for policy making. the present arti­cle ascertains the role of ideas and ideologies in shaping evidence which is used to aid in policy decisions. the article dis­cusses different theor...

Abstract The factorization method provides a necessary and sufficient condition for characterizing the shape position of an unknown scatterer by using far-field patterns infinitely many time-harmonic plane waves at fixed frequency (which are also called multistatic data response matrix). This paper is concerned with single pattern to recover arbitrary convex polygonal scatterer/source. Its one-...

Knowledge-driven activity recognition is an emerging and promising research area which has already shown very interesting features and advantages. However, there are also some drawbacks, such as the usage of generic and static activity models. This paper presents an approach to using data-driven techniques to evolve knowledge-driven activity models with a user’s behavioral data. The approach in...

in this paper, a new combined power and refrigeration cycle is proposed, which combines the rankin power cycle and the ejector refrigeration cycle. this combined cycle produces both power output and refrigeration output simultaneously. this cycle is driven by the flue gas of gas turbines, industrial waste heats, solar energy and geothermal energy. an exergy analysis is performed to guide the th...

Clustering is commonly regarded as a synonym of unsupervised learning aimed at the discovery of structure in highly dimensional data. With a plethora of existing algorithms, the area offers an evident diversity of possible approaches along with their underlying features and potential applications. When augmented by fuzzy sets, fuzzy clustering has become an integral component of Computational I...