Time Series Clustering
What is Time Series Clustering?
Time series clustering is a technique used to group similar time-based data sequences based
on their patterns over time.
Unlike normal clustering, which deals with independent data points, time series clustering
considers the order and sequence of data.
Example:
If we have temperature data of different cities:
Cities with similar weather patterns (summer, winter trends) will be grouped together.
Key Concepts
1. Data Representation
Time series data is a sequence of values recorded over time.
Examples: stock prices, heart rate, sensor readings, weather data
