binning

binning的音标是[ˈbɪnɪŋ]。基本翻译是“分箱，分档”。速记技巧可以是利用字母的相似性或固定模式来记忆单词。例如，如果一个单词包含某个常见模式（如“m”和“n”），可以尝试记住这个模式并以此记住整个单词。此外，也可以使用词根和词缀来帮助记忆，因为它们可以帮助理解单词的含义，从而更容易记住它。

Binning这个词的英文词源可以追溯到拉丁语“binus”和“nexus”，意为“两个连接在一起的东西”。它的变化形式包括复数形式“binnings”和过去式“binned”。

相关单词：

Bin：这是一个常见的英语单词，意为“箱子，存储器”，这个词是由binning这个过程演变而来的。

Discard：这个词表示“丢弃，抛弃”，它与binning这个过程有关，因为binning通常意味着将不需要或重复的数据从数据集中移除。

Binned：这是一个形容词形式，表示已经被处理或丢弃的。

Binning algorithm：这是一个计算机科学术语，指的是一种数据压缩算法，用于将大量数据分组并丢弃不需要的组。

Cluster binning：这是一个统计学术语，指的是一种数据挖掘技术，用于将相似的数据点分组在一起。

Binning method：这是一种统计学方法，用于将数据集分为几个组，以便更好地分析数据。

Data binning：这是一个数据处理术语，指的是将数据集分成几个组的过程，以便更好地分析每个组的数据。

Binning statistics：这是一个统计学术语，指的是对bin内数据的统计描述。

Binning analysis：这是一种数据分析方法，用于分析数据集中的各个组之间的差异和相似性。

binning常用短语：

1. binning algorithm

2. data binning

3. binning method

4. grouped binning

5. adaptive binning

6. fixed binning

7. dynamic binning

双语例句：

1. The data was then binned into five groups based on its characteristics.

2. The adaptive binning method was used to analyze the data.

3. The fixed binning method was applied to the data to identify patterns.

4. The grouped binning approach was used to analyze the data for better visualization.

5. The dynamic binning method was applied to the data to improve its accuracy.

6. The binning algorithm identified clusters of similar data points.

7. The results of the binning analysis were then used to develop a new model.

英文小作文：

Title: Data Binning: A Tool for Pattern Discovery and Data Visualization

Data binning is a technique that groups similar data points together, allowing for the identification of patterns and trends within the data set. By grouping similar data points, binning can help simplify complex data and make it easier to analyze and interpret. It can also be used as a tool for data visualization, where patterns and trends can be easily identified and presented to a wider audience.

Binning algorithms can be tailored to suit different needs and data sets, ranging from fixed bin sizes to adaptive bin sizes that adapt to the distribution of the data. This flexibility allows for a more personalized approach to data analysis, ensuring that the most relevant patterns and trends are identified and presented to the user.

In conclusion, data binning is a powerful tool that can be used to simplify complex data sets, identify patterns and trends, and present them in a visually appealing way. It is a valuable tool for data analysts, researchers, and anyone who needs to analyze large amounts of data effectively and efficiently.