classification

简明释义

英[ˌklæsɪfɪˈkeɪʃ(ə)n]美[ˌklæsɪfɪˈkeɪʃn]

n. 分类，分级；类别，级别；（动植物等的）分类学，分类法；（图书馆的书、磁带、杂志等的）分类系统，编目

复 数 c l a s s i f i c a t i o n s

英英释义

单词用法

同义词

反义词

例句

1.Category Types are used to identify the classification scheme.

类别类型被用来识别类别模式。

2.There are few researches on the classification and identification of Oenococcus oeni in China for the present.

目前，中国在酒酒球菌分类鉴定方面的研究还很少。

3.The government uses a classification system that includes both race and ethnicity.

政府采用一种既包括人种又包括种族的类别体系。

4.The right-most column shows the risk classification.

最右边的列显示风险类别。

5.Doing garbage classification in a right way can turn waste into wealth, which will benefit us a lot.

正确实施垃圾分类能够变废为宝，从而使我们受益良多。

6.Evaluate the predictive effect of classification of liver function in patients by Akoi's disconnective operation.

评估肝功能分级指标对断流手术预后的预测作用。

7.Confronted with the growing garbage output and deteriorating environment, the Chinese government is implementing the policy of garbage classification with great effort.

面对日益增长的垃圾产量和环境状况的恶化，中国政府正在努力推行垃极分类的政策。

8.The classification 分类 of books in the library is done by genre.

图书馆中的书籍分类 分类是按照类型进行的。

9.In machine learning, the classification 分类 algorithm helps in categorizing data into different classes.

在机器学习中，分类 分类算法帮助将数据分类到不同的类别中。

10.This study focuses on the classification 分类 of different species of plants.

这项研究专注于不同植物种类的分类 分类。

11.The classification 分类 of patients based on their symptoms can improve treatment outcomes.

根据症状对患者的分类 分类可以改善治疗结果。

12.The classification 分类 of animals is based on their physical characteristics.

动物的分类 分类是基于它们的身体特征。

作文

Classification is a fundamental concept in various fields, including biology, information science, and social sciences. It refers to the systematic arrangement of entities into categories based on shared characteristics or criteria. For instance, in biology, organisms are categorized into groups such as kingdoms, phyla, and species. This process of classification (分类) helps scientists understand the relationships between different organisms and their evolutionary history. In information science, classification (分类) plays a crucial role in organizing data for easier retrieval and analysis. By categorizing information, researchers and professionals can quickly locate relevant data and draw meaningful conclusions from it.In everyday life, we often engage in classification (分类) without even realizing it. For example, when we sort our books by genre, we are engaging in a form of classification (分类). Fiction, non-fiction, mystery, and biography are all categories that help us navigate our personal libraries. Similarly, in the context of social sciences, classification (分类) can be applied to categorize individuals based on demographic factors such as age, gender, income, and education level. This type of classification (分类) allows researchers to analyze trends and patterns within populations, leading to insights that can inform policy decisions and social programs.The importance of classification (分类) extends beyond academic disciplines; it also influences how we perceive the world around us. For instance, the way we categorize people can impact our interactions and relationships. Stereotypes and biases often arise from oversimplified classification (分类) systems that fail to capture the complexity of human identity. Therefore, it is essential to approach classification (分类) with caution and an awareness of its limitations. While it can be a useful tool for understanding and organizing information, it is crucial to recognize that individuals and phenomena do not always fit neatly into predefined categories.Moreover, advancements in technology have transformed the way we approach classification (分类). Machine learning algorithms, for example, utilize sophisticated techniques to classify data automatically. These algorithms can analyze vast amounts of information and identify patterns that may not be immediately apparent to human observers. However, this reliance on automated classification (分类) raises ethical considerations, particularly regarding privacy and bias. It is vital to ensure that the criteria used for classification (分类) are fair and transparent, as biased algorithms can perpetuate existing inequalities.In conclusion, classification (分类) is a powerful tool that permeates various aspects of our lives. Whether in scientific research, data organization, or social interactions, the act of classification (分类) shapes our understanding of the world. However, it is essential to approach classification (分类) thoughtfully, acknowledging its potential pitfalls and striving for inclusivity and fairness. As we continue to evolve in our understanding of classification (分类) systems, we must remain vigilant about their implications and strive to create frameworks that reflect the diversity and complexity of the human experience.

分类是多个领域中的一个基本概念，包括生物学、信息科学和社会科学。它指的是根据共享特征或标准对实体进行系统排列的过程。例如，在生物学中，生物体被分为王国、门和物种等组别。这一分类（分类）过程帮助科学家理解不同生物体之间的关系及其进化历史。在信息科学中，分类（分类）在组织数据以便于检索和分析方面发挥着至关重要的作用。通过对信息进行分类，研究人员和专业人士可以快速找到相关数据，并从中得出有意义的结论。在日常生活中，我们经常在不知不觉中进行分类（分类）。例如，当我们按类型整理书籍时，我们就在进行一种分类（分类）。小说、非小说、悬疑和传记都是帮助我们浏览个人图书馆的类别。类似地，在社会科学的背景下，分类（分类）可以用于根据年龄、性别、收入和教育水平等人口统计因素对个人进行分类。这种分类（分类）允许研究人员分析群体中的趋势和模式，从而获得可以指导政策决策和社会项目的见解。分类（分类）的重要性不仅限于学术领域；它还影响着我们如何看待周围的世界。例如，我们对人的分类方式可能会影响我们的互动和关系。刻板印象和偏见往往源于那些未能准确捕捉人类身份复杂性的简化分类（分类）系统。因此，谨慎地处理分类（分类）以及意识到其局限性是至关重要的。虽然它可以成为理解和组织信息的有用工具，但认识到个体和现象并不总是可以整齐地归入预定义类别也是至关重要的。此外，技术的进步改变了我们处理分类（分类）方式。机器学习算法例如，利用复杂的技术自动对数据进行分类。这些算法可以分析大量信息并识别出人类观察者可能无法立即察觉的模式。然而，这种对自动化分类（分类）的依赖引发了伦理考虑，尤其是在隐私和偏见方面。确保用于分类（分类）的标准公正和透明至关重要，因为有偏见的算法可能会延续已有的不平等。总之，分类（分类）是一个渗透到我们生活各个方面的强大工具。无论是在科学研究、数据组织还是社会互动中，分类（分类）的行为塑造了我们对世界的理解。然而，谨慎地对待分类（分类）是必要的，承认其潜在缺陷并努力追求包容和公正。随着我们对分类（分类）系统理解的不断发展，我们必须始终保持警惕，关注其影响，并努力创建反映人类经验多样性和复杂性的框架。