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Time Series Clustering, fully explained!
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In this video I have talked about time series clustering and its applications.
I have covered the following :
- Time series clustering using K means with Euclidean and DTW (Dynamic time Warping) distance
- How to decide the number of clusters using two approaches ?
- How can we calculate performance of time series clustering ?
- Which approach gives better performance on different datasets
0:00 Introduction
1:12 Similarity measure
3:42 Applications
5:44 Time Series Clustering in python starts
7:38 Number of clusters decision
11:12 k-means with Euclidean and DTW(Dynamic Time Warping)
I have covered the following :
- Time series clustering using K means with Euclidean and DTW (Dynamic time Warping) distance
- How to decide the number of clusters using two approaches ?
- How can we calculate performance of time series clustering ?
- Which approach gives better performance on different datasets
0:00 Introduction
1:12 Similarity measure
3:42 Applications
5:44 Time Series Clustering in python starts
7:38 Number of clusters decision
11:12 k-means with Euclidean and DTW(Dynamic Time Warping)
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