"hierarchical" 的音标为 [ˌhaɪəˈrækrɪk(ə)l] ,基本翻译为“分等级的;等级制度的;分层的”。速记技巧可以使用谐音记忆法,将其转化为汉语“海鸥热辣啃梨”,这样记忆可以更深刻。
Hierarchical这个词的词源可以追溯到拉丁语词根“hieros”和“arkos”,意为“神圣的”或“宗教的”。这个词后来被引入英语,用来描述一种组织结构,即层级式的组织结构。
变化形式:通常为复数形式“hierarchies”或单数形式“hierarchy”。
相关单词:
1. “leader” - 领导者,在层级结构中起主导作用。
2. “subordinate” - 隶属的,处于从属地位。
3. “superior” - 优于,在层级结构中处于更高地位。
4. “middle management” - 中层管理,位于高层领导和基层员工之间。
5. “lower level” - 低层,在层级结构中处于较低位置。
6. “upward mobility” - 向上流动,指从较低层级向更高层级晋升。
7. “democracy in hierarchy” - 层级结构中的民主,指在组织中允许员工参与决策。
8. “hierarchical distribution” - 分层分布,指资源或任务在层级结构中按层次分配。
9. “hierarchical communication” - 分层沟通,指在层级结构中向上或向下传达信息的沟通方式。
10. “hierarchical structure” - 分层结构,是组织中最常见的结构形式,由多个层级组成,逐层管理。
常用短语:
1. hierarchical clustering 层次聚类
2. top-down approach 自顶向下的方法
3. bottom-up approach 自底向上的方法
4. level-k clustering 层次k-means聚类
5. breadth-first search 广度优先搜索
6. depth-first search 深度优先搜索
7. hierarchical classification 分层分类
双语例句:
1. The dataset was hierarchically clustered into several groups. (数据集通过层次聚类被分成了几个组。)
2. The company"s strategy is based on a top-down approach to market segmentation. (公司的战略基于自顶向下的市场细分方法。)
3. The data was collected using a bottom-up approach, with individual observations contributing to the final analysis. (数据是通过自底向上的方法收集的,每个观察值都对最终分析做出了贡献。)
4. The level-k clustering algorithm performed well on our dataset, achieving a balanced accuracy of over 80%. (在我们的数据集上,层次k-means聚类算法表现良好,实现了超过80%的平衡精度。)
5. The search engine used breadth-first search to crawl the web, indexing billions of web pages in a short time. (搜索引擎使用广度优先搜索来爬取网络,在短时间内对数十亿网页进行了索引。)
6. The network administrator implemented a depth-first search strategy to locate the lost device. (网络管理员实施了深度优先搜索策略来定位丢失的设备。)
7. The company"s hierarchical classification system ensures that all departments are organized effectively and efficiently. (公司的分层分类系统确保所有部门都得到有效和高效的组织。)
英文小作文:
Hierarchical Classification System: Benefits and Applications
In today"s fast-paced business environment, effective organization and classification systems are essential for achieving success. One such system that has gained popularity is hierarchical classification, which organizes data and information into distinct levels based on their importance and relevance.
Hierarchical classification systems have numerous benefits. Firstly, they facilitate easy access to information, as it is organized in a way that makes it easy to locate and retrieve. This saves time and effort, allowing employees to focus on their core tasks instead of searching for information. Secondly, they promote efficiency and effectiveness, as the system ensures that information is organized in a way that maximizes its value and usage. Finally, hierarchical classification systems are adaptable and flexible, as they can be easily modified and updated to reflect changes in the organization or the needs of its stakeholders.
Applications of hierarchical classification systems are widespread, and can be found in various industries and sectors. In the corporate world, they are commonly used in organizational charts and departmental structures, helping to ensure that teams and departments are effectively organized and managed. In education, hierarchical classification systems are used to organize courses and curriculum, helping students to identify their areas of interest and focus on the right subjects. Additionally, hierarchical classification systems can also be used in government agencies, healthcare facilities, and other organizations to improve efficiency and effectiveness.
Overall, hierarchical classification systems are a valuable tool that can help organizations achieve their goals and objectives by providing an effective way of organizing and managing information and data. By implementing such a system, organizations can improve their productivity, efficiency, and overall performance, leading to greater success and growth.