Out-of-core clustering of volumetric datasets

被引：0

作者：

Granberg C.J. ^{[1
]}

Li L. ^{[1
]}

机构：

[1] Department of Computing, Curtin University of Technology, Perth

来源：

Journal of Zhejiang University-SCIENCE A | 2006年 / 7卷 / 7期

关键词：

Hybrid rendering; Out-of-core clustering; Scientific visualization;

D O I：

10.1631/jzus.2006.A1134

中图分类号：

学科分类号：

摘要：

In this paper we present a novel method for dividing and clustering large volumetric scalar out-of-core datasets. This work is based on the Ordered Cluster Binary Tree (OCBT) structure created using a top-down or divisive clustering method. The OCBT structure allows fast and efficient sub volume queries to be made in combination with level of detail (LOD) queries of the tree. The initial partitioning of the large out-of-core dataset is done by using non-axis aligned planes calculated using Principal Component Analysis (PCA). A hybrid OCBT structure is also proposed where an in-core cluster binary tree is combined with a large out-of-core file.

引用

页码：1134 / 1140

页数：6

共 50 条

[1] Out-of-core clustering of volumetric datasets
GRANBERG Carl J.
[J]. Journal of Zhejiang University-Science A(Applied Physics & Engineering), 2006, (07) : 1134 - 1140
[2] A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets
Enrico Gobbetti
Fabio Marton
José Antonio Iglesias Guitián
[J]. The Visual Computer, 2008, 24 : 797 - 806
[3] A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets
Gobbetti, Enrico
Marton, Fabio
Guitian, Jose Antonio Iglesias
[J]. VISUAL COMPUTER, 2008, 24 (7-9): : 797 - 806
[4] Out-of-core Extraction of Curve Skeletons for Large Volumetric Models
Chu, Yiyao
Wang, Wencheng
[J]. COMPUTER GRAPHICS FORUM, 2022, 41 (07) : 1 - 12
[5] Averaging Refined Sample Centers for Faster Out-of-Core Clustering
Pakhira, Malay K.
[J]. ICCN: 2008 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING, 2008, : 331 - 336
[6] Using an out-of-core technique for clustering large data sets
Masciari, E
Pizzuti, C
Raimondo, G
Talia, D
[J]. 12TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2001, : 133 - 137
[7] Out-of-Core Assessment of Clustering Tendency for Large Data Sets
Pakhira, Malay K.
[J]. 2010 IEEE 2ND INTERNATIONAL ADVANCE COMPUTING CONFERENCE, 2010, : 29 - 33
[8] Fast and exact out-of-core K-means clustering
Goswami, A
Jin, RM
Agrawal, G
[J]. FOURTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, 2004, : 83 - 90
[9] The out-of-core KNN awakens: the light side of computation force on large datasets
Javier Olivares
Anne-Marie Kermarrec
Nitin Chiluka
[J]. Computing, 2019, 101 : 19 - 38
[10] The out-of-core KNN awakens: the light side of computation force on large datasets
Olivares, Javier
Kermarrec, Anne-Marie
Chiluka, Nitin
[J]. COMPUTING, 2019, 101 (01) : 19 - 38

← 1 2 3 4 5 →