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SYSTEMS AND METHODS FOR IMPLEMENTING DENSITY VARIATION (DENSVAR) CLUSTERING ALGORITHMS

机译：实现密度变化（DENSVAR）聚类算法的系统和方法

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摘要

The present disclosure provides a clustering device configured to detect varying density. The clustering device may receive a set of parameters (e.g., a density parameter specifying a plurality of density values, a size parameter, and a node parameter that includes information associated with a plurality of nodes) for identifying clusters. The clustering device may determine a distance between different pairs of nodes of the plurality of nodes and identify candidate nodes of the plurality of nodes based on the distance determined for the different pairs of nodes and the size parameter. Candidate nodes may be assigned to a candidate cluster that may be evaluated against the density parameter to determine whether a density of the candidate cluster satisfies at least one of the plurality of density values. A cluster may be identified based on whether the candidate cluster satisfies at least one of the plurality of density values.

机译：本公开提供了一种被配置为检测变化密度的聚类设备。聚类设备可以接收一组参数（例如，指定多个浓度值的浓度参数，尺寸参数和节点参数，该节点参数包括用于识别群集的多个节点的信息。聚类设备可以确定多个节点的不同对节点的不同对之间的距离，并基于针对不同对节点和大小参数确定的距离来识别多个节点的候选节点。可以将候选节点分配给候选群集，该候选群集可以针对密度参数评估以确定候选簇的密度是否满足多个密度值中的至少一个。可以基于候选群集是否满足多个密度值中的至少一个群集来识别群集。

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公开/公告号US2022037033A1

专利类型
公开/公告日2022-02-03

原文格式PDF
申请/专利权人 ACCENTURE GLOBAL SOLUTIONS LIMITED;
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申请/专利号US202016945170
发明设计人 KARTHIK SRINIVASAN;DEEPAK A. SHARMA;ROMESH VISWANATH;RAM MOHEN VENKATAKRISHNAN;RAMANAN RAMANATHAN;
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申请日2020-07-31
分类号G16H50/80;G06F16/28;G06F16/29;
国家 US
入库时间 2022-08-24 23:36:14

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