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Clustering is unsupervised learning where ideally class levels and number of clusters (K) are not known. K-clustering can be categorized as semi-supervised learning where K is known. Here we have considered K-Clustering with simultaneous feature selection. Feature subset selection helps to identify relevant features for clustering, increase(More)
The aim of the paper is to study a real coded multi objective genetic algorithm based K-clustering, where K represents the number of clusters, may be known or unknown. If the value of K is known, it is called K-clustering algorithm. The searching power of Genetic Algorithm (GA) is exploited to get for proper clusters and centers of clusters in the feature(More)
Traumatic brain injury (TBI) affects 5.3 million Americans annually. Despite the many long-term deficits associated with TBI, there currently are no clinically available therapies that directly address the underlying pathologies contributing to these deficits. Preclinical studies have investigated various therapeutic approaches for TBI: two such approaches(More)
In the paper, real coded multi objective genetic algorithm (MOGA) based K-clustering method has been studied where K represents the number of clusters known a priori. Proposed method has the capability to deal with continuous and categorical features (mixed features) of data set. Commonly means and modes of features represents clusters for continuous and(More)
A virtual domain enables grouping of related virtual machines running on separate physical machine into a single network domain with a unified security policy. Since the virtual machines can be running different operating systems and applications, the attacker can exploit even a single vulnerability in any of the operating system or applications in a single(More)
BACKGROUND Reduced arterial oxygen saturation (SaO(2)) during swallowing, oral feeding and feeding tube placement has been demonstrated in stroke patients. It is not known if tube feeding causes similar episodes of arterial desaturation and whether there is a case for routine pulse oximetry during tube feeding. OBJECTIVE To determine if tube feeding in(More)
BACKGROUND The diagnosis of Transient Ischaemic Attack (TIA) can be difficult and 50-60% of patients seen in TIA clinics turn out to be mimics. Many of these mimics have high ABCD2 scores and fill urgent TIA clinic slots inappropriately. A TIA diagnostic tool may help non-specialists make the diagnosis with greater accuracy and improve TIA clinic triage.(More)