发明名称 |
Density based clustering for multidimensional data |
摘要 |
<p>A new density based clustering method for clustering data points in multidimensional space is described. Each point has a neighborhood consisting of all points that are within a preset cutoff radius or distance. Each point is assigned a density measure based on the number of points in its neighborhood. Any point that has a higher density than any of its neighboring points is the centre of a cluster and is assigned a unique cluster ID. Every other point follows a path through the graph of neighboring points such that density is increasing as fast as possible until a cluster center is reached. The algorithm's performance is demonstrated on a one-dimensional, two-dimensional, and 18-dimensional dataset.</p> |
申请公布号 |
AU2010324501(A1) |
申请公布日期 |
2012.07.12 |
申请号 |
AU20100324501 |
申请日期 |
2010.11.23 |
申请人 |
ZYMEWORKS INC. |
发明人 |
RODINGER, TOMAS;LARIO, PAULA I. |
分类号 |
G06F17/30;G06F19/00;G06F19/24 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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