Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Omnia Ossama"'
Publikováno v:
Egyptian Informatics Journal, Vol 12, Iss 1, Pp 45-51 (2011)
k-means algorithm is one of the basic clustering techniques that is used in many data mining applications. In this paper we present a novel pattern based clustering algorithm that extends the k-means algorithm for clustering moving object trajectory
Externí odkaz:
https://doaj.org/article/dbae4a462869460391011b7fa1c07cac
Publikováno v:
Egyptian Informatics Journal, Vol 12, Iss 1, Pp 45-51 (2011)
k-means algorithm is one of the basic clustering techniques that is used in many data mining applications. In this paper we present a novel pattern based clustering algorithm that extends the k-means algorithm for clustering moving object trajectory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7694ed6c72308883a5ace1dbcf94749
Publikováno v:
International Journal of Database Management Systems. 3:35-48
Given a set of moving object trajectories, we show how to cluster them using k-means clustering approach. Our proposed clustering algorithm is competitive with the k-means clustering because it specifies the value of "k" based on the segment's slope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a12e80ecd35ba2aed0e661160a17db1
https://doi.org/10.5121/ijdms.2011.3103
https://doi.org/10.5121/ijdms.2011.3103
Publikováno v:
Advances in Wireless, Mobile Networks and Applications ISBN: 9783642211522
Given a set of moving objects, we show the applicability of using coresets to perform fast approximate clustering. A trajectory coreset is simply a small weighted set of the trajectory segments that approximates the original trajectory. In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd6e9f6ec5f00f3f984b7472a85a0d6b
https://doi.org/10.1007/978-3-642-21153-9_21
https://doi.org/10.1007/978-3-642-21153-9_21
Publikováno v:
International Journal of Intelligent Information and Database Systems. 6:307
k-means clustering algorithm is a famous clustering algorithm applied in many applications. However, traditional k-means algorithm assumes that the initial number of centroids is known in advance. This dependence on the number of clusters and the ini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::074d1a5220eec684be8b9395b7e8e89a
https://doi.org/10.1504/ijiids.2012.049111
https://doi.org/10.1504/ijiids.2012.049111