{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:27:04Z","timestamp":1740202024875,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"abstract":"<jats:p>In this work we propose a novel geometric clustering algorithm based on the Tensor Voting Framework (TVF). More precisely, we propose the construction of a weighted graph by means of the information diffused by TVF during the vote casting step. This graph, which summarizes informations related to the manifold geometric structure, was used for clustering purposes. To this aim, we applied the well known Dijkstra and Ford Fulkerson algorithms to recursively separate weakly connected graph components.<\/jats:p>","DOI":"10.3233\/978-1-60750-972-1-129","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:26:53Z","timestamp":1740133613000},"source":"Crossref","is-referenced-by-count":0,"title":["A Novel Approach for Geometric Clustering based on Tensor Voting Framework"],"prefix":"10.3233","author":[{"family":"Lombardi Gabriele","sequence":"additional","affiliation":[]},{"family":"Rozza Alessandro","sequence":"additional","affiliation":[]},{"family":"Casiraghi Elena","sequence":"additional","affiliation":[]},{"family":"Campadelli Paola","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Neural Nets WIRN11"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:04:12Z","timestamp":1740135852000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=234&spage=129"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-60750-972-1-129","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2011]]}}}