What Partition is
Partition is a process used for dividing a dataset into smaller subsets. It is used for data analysis and data mining. The goal of partitioning is to divide the data into homogeneous subsets.
Steps for Partition:
- Identify the parameters that can be used for partitioning the dataset.
- Decide the criteria for partitioning the dataset.
- Split the dataset into partitions using the criteria.
- Analyze each partition separately.
- Compare the results of each partition to determine which partition best fits the criteria.
- Adjust the partitions if necessary.
Examples
- Partitioning data into mutually exclusive subsets for analysis, such as in a cluster analysis.
- Dividing a dataset into two or more subsets based on some criteria, such as in a stratified random sample.
- Breaking a dataset into distinct subsets according to a given factor, such as in a chi-square test.
- Partitioning a dataset into groups based on the value of a continuous variable, such as in a regression analysis.
- Classifying data into distinct groups based on one or more categorical variables, such as in a principal components analysis.