Scholarlink

Classification refers to the task of assigning predefined labels—classes—to individual data objects. It is performed based on one selected attribute (the class label), that has a fixed number of categorical values. The number of categories (classes) is known in advance, which is one of the main differences between clustering and classification: for clustering, the number of groups is usually not known, but rather revealed during the clustering process.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Time Series Classification

  • 章节

  • 发表日期：

    2025年

查看全文
  • Zoltán Gellér,
  • Vladimir Kurbalija,
  • Miloš Radovanović,
  • Mirjana Ivanović

摘要

Classification refers to the task of assigning predefined labels—classes—to individual data objects. It is performed based on one selected attribute (the class label), that has a fixed number of categorical values. The number of categories (classes) is known in advance, which is one of the main differences between clustering and classification: for clustering, the number of groups is usually not known, but rather revealed during the clustering process.