LCSS - finding similarity between multiple timeseries
In this video, we explore the Longest Common Subsequence Similarity (LCSS) method for comparing time series data. ⏱️💡 Learn how LCSS helps identify the largest common path between two dissimilar sequences — even when they don’t line up perfectly! This technique is powerful for understanding patterns in time-dependent data like sensor readings, stock prices, or signal sequences.
👉 What You’ll Learn:
✔ What LCSS (Longest Common Subsequence Similarity) is
✔ How it measures similarity between two time series
✔ Why it’s useful when sequences are noisy or misaligned
✔ A visual demonstration with example time series
🧠 Code & Resources:
Code used in this demo is available — check the video description or pinned comment for a link!
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Code can be found at - https://github.com/pankajr141/experim...