Recently, the location of the fingerprint positioning technology is obviously superior to the signal transmission loss model based on the positioning technology, and is widely concerned by scholars. In the online phase, due to the efficiency of the probabilistic distribution matching computation is low and when clustering the position fingerprint database, hard clustering lead to degrading the ...

Due to strong demand for the ability to enforce top-down structure on clustering results, semi-supervised clustering methods using pairwise constraints as side information have received increasing attention in recent years. However, most current methods are passive in the sense that the side information is provided beforehand and selected randomly. This may lead to the use of constraints that a...

We investigate document clustering through adaptation of Zamir and Etzioni’s approach to online web document clustering. Specifically we generalize the Suffix Tree Clustering method to allow for a wider range of clustering techniques. We apply the modified technique to a corpus of news articles improving precision by 29% while running 8% faster than the original algorithm.

In this paper, we present an online citation entry clustering system based on three-tier clustering. The objective is to further process search results returned by bibliography databases and present to the user with more accurate results. By our approach, a user first issues an author name query and it is passed to a data source chosen by the user. We then exploit the unique usage of each citat...

An online evolving clustering (OEC) method equivalent to ensemble modeling is proposed tackle prognostics problems of learning and the prediction remaining useful life (RUL). During phase, OEC extracts predominant operating modes as multiple clusters (EC). Each EC associated with its own Weibull distribution-inspired degradation (survivability) model that will receive incremental modifications ...