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相关概念视频

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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从数据中提取偏好关系:用过渡中心体进行集群.

Debora de Chiusole1, Luca Stefanutti1, Andrea Brancaccio2

  • 1Department of Philosophy, Sociology, Education and Applied Psychology, University of Padua, Via Venezia, 14, 35131, Padova, Italy.

Behavior research methods
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PubMed
概括
此摘要是机器生成的。

一个新的集群算法,k-orders,有效地从数据中提取过渡关系. 它通过识别过渡中心体,超过了标准的k-modes算法,特别是在偏好研究中.

关键词:
k-模式可以使用.集群集成是指集群集成.对对比对对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比对比偏好 偏好 偏好 偏好过渡性 过渡性是指过渡性.

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科学领域:

  • 数据科学数据科学数据科学
  • 机器学习 机器学习
  • 计算统计学 计算统计学

背景情况:

  • 聚类算法对于数据分析至关重要.
  • 像k-modes这样的现有方法可能无法捕捉复杂的关系结构.
  • 偏好数据通常表现出过渡性,尽管个体异质.

研究的目的:

  • 引入一种新的集群算法,k-order,用于提取过渡关系.
  • 提出和评估两个调整程序:过渡性心脏调整 (TCA) 和贪的TCA.
  • 为了证明算法的实用性在分析异质的,过渡的个人偏好.

主要方法:

  • 该k-订单算法通过结合过渡性心脏调整来修改k-模式.
  • 开发了两个调整程序,TCA和贪的TCA.
  • 通过模拟研究评估性能,将k-命令 (TCA和贪的TCA) 与k-模式进行比较.
  • 隐性类型模型用于提取的中心体的实证测试.

主要成果:

  • 这两种k级版本在处理过渡关系中心体时显著优于k级.
  • 在二元期权场景中,TCA算法在贪的TCA上表现优越.
  • 一个经验应用成功地说明了k-order用于偏好分析的实际使用.

结论:

  • k-order算法是从数据中提取过渡关系的一个有价值的工具.
  • TCA和贪的TCA为具有固有的过渡结构的数据提供了改进的集群.
  • K订单提供了一个强大的方法来分析复杂的个人偏好.