In order to make better business decisions, faster database browsing and reducing processing time of queries, Extraction of Information from text documents in efficient manner is needed. Clustering of huge number of text documents into different clusters, for better management of information, provides for a wide area in which a whole lot of research is currently being pursued. Recent developmen...

OBJECTIVE To evaluate the effectiveness of a rural clinical placement on students' self-perceived clinical skills and work location choice post-graduation. METHODS A one month rural placement program was introduced in 2008-2009 for 4(th) year dental undergraduates. Student's views on the rural exercise were collected by pre and post self-completion questionnaires, which were distributed to ru...

Constrained clustering received a lot of attention in the last years. However, the widely used pairwise constraints are not generally applicable for hierarchical clustering, where the goal is to derive a cluster hierarchy instead of a flat partition. Therefore, we propose for the hierarchical setting—based on the ideas of pairwise constraints—the use of must-link-before (MLB) constraints. In th...

Because in the traffic video image processing, the background image gotten from background modeling by traditional k-means clustering algorithm shows a lot of noises, thus the improvement of k-means clustering algorithm is proposed, and has been applied to the vehicle flow detection of traffic video image. By analyzing the vehicle detection method and comparing the flow detection algorithm, the...

Mining knowledge from large amounts of spatial data is known as spatial data mining. It becomes a highly demanding field because huge amounts of spatial data have been collected in various applications ranging from geo-spatial data to bio-medical knowledge. The amount of spatial data being collected is increasing exponentially. So, it far exceeded human’s ability to analyze. Recently, clusterin...

Clustering of Weibo users is one of the most important topics in data mining on social network. Clustering can help dig out the relations among people or between people and resources. A lot of work relating to clustering has been done on analyzing personal relationship, whereas we focus our clustering model on preferences and interests. In this article, we propose a new clustering model focusin...

This paper proposes an autonomous distributed algorithm that can construct spatial structures for clustering in mobile ad hoc networks. Since the topology of a mobile ad hoc network changes frequently, a fast, light-weight, and autonomous clustering mechanism is required. However, existing autonomous clustering mechanisms are based on differential equations and thus demand a lot of calculations...

Lot Quality Assurance Sampling (LQAS) applications in health have generally relied on frequentist interpretations for statistical validity. Yet health professionals often seek statements about the probability distribution of unknown parameters to answer questions of interest. The frequentist paradigm does not pretend to yield such information, although a Bayesian formulation might. This is the ...