Apr 8, 2015 · The general aim of finding topics and clusters in a geographically distributed document set is to find geographically close points and their ...
Oct 22, 2024 · As smart phones with GPS become popular, more and more textual documents with geographical locations are published on the Web.
In this paper, we focus on the problem of finding textual topics of clusters containing spatial objects with text descriptions.
Clustering has become an increasingly important task in the analysis of large documents. Clustering aims to organize these documents, and facilitate better ...
Spatial clustering is the most commonly used technique for the discovery of clusters in spatial point data, and it has a varied history and definition with ...
As smart phones with GPS become popular, more and more textual documents with geographical locations are published on the Web. Keyword-based location ...
Li Zhang, Xiaoping Sun, Hai Zhuge: Topic discovery of clusters from documents with geographical location. Concurr. Comput. Pract.
This paper develops a new framework for geographical cluster estimation, and employs latent variables to estimate the geographical clusters. To solve this ...
This paper studies the problem of discovering and comparing geographical topics from GPS-associated documents.
In this paper, we focus on estimating rough geo-locations of images in terms of their geographical clusters. In particular, we use beach images in our exper ...