KShape cluster centers offset?How to classify and cluster this time series dataCluster Similar Images into FoldersDatamodel for cluster analysis terms & segmentationIs this cluster analysis / prediction?How to cluster multiple time-series from one data frameCluster documents and identify the prominent document in the cluster?Notion of cluster centers and cluster comparison in Density Based AlgorithmsMeasuring document cluster cohesionClustering time series based on monotonic similarityUsing K-prototypes algorithm to cluster gdelt data by country
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KShape cluster centers offset?
How to classify and cluster this time series dataCluster Similar Images into FoldersDatamodel for cluster analysis terms & segmentationIs this cluster analysis / prediction?How to cluster multiple time-series from one data frameCluster documents and identify the prominent document in the cluster?Notion of cluster centers and cluster comparison in Density Based AlgorithmsMeasuring document cluster cohesionClustering time series based on monotonic similarityUsing K-prototypes algorithm to cluster gdelt data by country
$begingroup$
I am using tslearn KShape to cluster time series data. I am generally happy with the results, as upon inspection, the clusters seem to make sense because of the similarity in shape and magnitude. I can see the general shape that emerges as seen in the figures below.
What I find odd is the cluster centers using k_shape.cluster_centers_. There seems to be a significant shift from some of the clusters. I've included two figures illustrating my point. In Cluster 0, the cluster center is plotted as the red line, and there is a significant shift from where that shape actually emerges in the time series. In Cluster 4, the cluster center is much more centered, for lack of a better term.
What could be contributing to the major offset seen in Cluster 0? What I find odd is that not all clusters have such a dramatic offset, and not all are offset to the beginning or the end of the time series. Any thoughts?
time-series clustering
asked Feb 7 at 19:32
AAD2AAD2
62
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add a comment |
$begingroup$
I am using tslearn KShape to cluster time series data. I am generally happy with the results, as upon inspection, the clusters seem to make sense because of the similarity in shape and magnitude. I can see the general shape that emerges as seen in the figures below.
What I find odd is the cluster centers using k_shape.cluster_centers_. There seems to be a significant shift from some of the clusters. I've included two figures illustrating my point. In Cluster 0, the cluster center is plotted as the red line, and there is a significant shift from where that shape actually emerges in the time series. In Cluster 4, the cluster center is much more centered, for lack of a better term.
What could be contributing to the major offset seen in Cluster 0? What I find odd is that not all clusters have such a dramatic offset, and not all are offset to the beginning or the end of the time series. Any thoughts?
time-series clustering
asked Feb 7 at 19:32
AAD2AAD2
62
$endgroup$
add a comment |
$begingroup$
I am using tslearn KShape to cluster time series data. I am generally happy with the results, as upon inspection, the clusters seem to make sense because of the similarity in shape and magnitude. I can see the general shape that emerges as seen in the figures below.
What I find odd is the cluster centers using k_shape.cluster_centers_. There seems to be a significant shift from some of the clusters. I've included two figures illustrating my point. In Cluster 0, the cluster center is plotted as the red line, and there is a significant shift from where that shape actually emerges in the time series. In Cluster 4, the cluster center is much more centered, for lack of a better term.
What could be contributing to the major offset seen in Cluster 0? What I find odd is that not all clusters have such a dramatic offset, and not all are offset to the beginning or the end of the time series. Any thoughts?
time-series clustering
asked Feb 7 at 19:32
AAD2AAD2
62
$endgroup$
I am using tslearn KShape to cluster time series data. I am generally happy with the results, as upon inspection, the clusters seem to make sense because of the similarity in shape and magnitude. I can see the general shape that emerges as seen in the figures below.
What I find odd is the cluster centers using k_shape.cluster_centers_. There seems to be a significant shift from some of the clusters. I've included two figures illustrating my point. In Cluster 0, the cluster center is plotted as the red line, and there is a significant shift from where that shape actually emerges in the time series. In Cluster 4, the cluster center is much more centered, for lack of a better term.
What could be contributing to the major offset seen in Cluster 0? What I find odd is that not all clusters have such a dramatic offset, and not all are offset to the beginning or the end of the time series. Any thoughts?
time-series clustering
time-series clustering
asked Feb 7 at 19:32
AAD2AAD2
62
asked Feb 7 at 19:32
AAD2AAD2
62
asked Feb 7 at 19:32
AAD2AAD2
62
asked Feb 7 at 19:32
AAD2AAD2
62
asked Feb 7 at 19:32
AAD2AAD2
62
62
add a comment |
add a comment |
1 Answer
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It turns out that the red shape in each cluster indicates the cluster centroid, which is the shape that all the other shapes in the cluster are compared with. There is an offset occasionally because it's a centroid, and the there may be a some variance within the cluster. For that reason, the standard deviation set in the k-shape algorithm can affect the centroid, with larger standard deviations contributing to less "exact" centroids.
answered 10 mins ago
AAD2AAD2
62
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$begingroup$
It turns out that the red shape in each cluster indicates the cluster centroid, which is the shape that all the other shapes in the cluster are compared with. There is an offset occasionally because it's a centroid, and the there may be a some variance within the cluster. For that reason, the standard deviation set in the k-shape algorithm can affect the centroid, with larger standard deviations contributing to less "exact" centroids.
answered 10 mins ago
AAD2AAD2
62
$endgroup$
add a comment |
$begingroup$
It turns out that the red shape in each cluster indicates the cluster centroid, which is the shape that all the other shapes in the cluster are compared with. There is an offset occasionally because it's a centroid, and the there may be a some variance within the cluster. For that reason, the standard deviation set in the k-shape algorithm can affect the centroid, with larger standard deviations contributing to less "exact" centroids.
answered 10 mins ago
AAD2AAD2
62
$endgroup$
add a comment |
$begingroup$
It turns out that the red shape in each cluster indicates the cluster centroid, which is the shape that all the other shapes in the cluster are compared with. There is an offset occasionally because it's a centroid, and the there may be a some variance within the cluster. For that reason, the standard deviation set in the k-shape algorithm can affect the centroid, with larger standard deviations contributing to less "exact" centroids.
answered 10 mins ago
AAD2AAD2
62
$endgroup$
It turns out that the red shape in each cluster indicates the cluster centroid, which is the shape that all the other shapes in the cluster are compared with. There is an offset occasionally because it's a centroid, and the there may be a some variance within the cluster. For that reason, the standard deviation set in the k-shape algorithm can affect the centroid, with larger standard deviations contributing to less "exact" centroids.
answered 10 mins ago
AAD2AAD2
62
answered 10 mins ago
AAD2AAD2
62
answered 10 mins ago
AAD2AAD2
62
answered 10 mins ago
AAD2AAD2
62
62
add a comment |
add a comment |
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