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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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    科学领域:

    • 机器学习 机器学习
    • 数据挖掘 数据挖掘
    • 计算机科学 计算机科学

    背景情况:

    • 基于的策略加快了光谱聚类,但取决于质量.
    • 随机抽样是有效的,但单个样本可能无法捕获数据拓.
    • 现有的方法在大型数据集上难以准确地进行拓表示和性能.

    研究的目的:

    • 提出一种新的光谱嵌入表示模型,即随机接图集成 (RAGA).
    • 通过聚合图来增强样本表示能力.
    • 改进聚类性能,处理大规模数据场景.

    主要方法:

    • 多个随机抽样以近似原始数据分布.
    • 适应式加权学习用于构建聚合图.
    • 共同的光谱嵌入和光谱旋转学习框架.

    主要成果:

    • 聚合图更准确地描绘了原始样本的拓结构.
    • 与传统的两阶段框架相比,RAGA可以减少模型学习错误的积累.
    • 实验结果表明RAGA的性能优于基于图的最新聚类方法.

    结论:

    • RAGA保留了随机采样的速度优势,同时实现了高质量的图汇总.
    • 拟议的方法有效地处理大规模数据场景.
    • 与现有的基于图的方法相比,RAGA提供了优越的集群性能.