Common cluster points between different runs2019 Community Moderator ElectionClustering not producing even clustersDefinition - center of the cluster with non-Euclidean distanceConvergence in Hartigan-Wong k-means method and other algorithmsNumerical data and different algorithmsNotion of cluster centers and cluster comparison in Density Based AlgorithmsIn K-means, what happens if a centroid is never the closest to any point?Is it possible to cluster data according to a target?Clustering by common elements in a listHow to identify clusters after multiple runs?Clustering based on distance between points
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Common cluster points between different runs
2019 Community Moderator ElectionClustering not producing even clustersDefinition - center of the cluster with non-Euclidean distanceConvergence in Hartigan-Wong k-means method and other algorithmsNumerical data and different algorithmsNotion of cluster centers and cluster comparison in Density Based AlgorithmsIn K-means, what happens if a centroid is never the closest to any point?Is it possible to cluster data according to a target?Clustering by common elements in a listHow to identify clusters after multiple runs?Clustering based on distance between points
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I am doing a Weka exercise using a dataset, and I'm supposed to do one run clustering with k means using 6 clusters, and another using 4. I have done this but I'm being asked to identify the number of common points between the 6 clusters from the first run and the 4 clusters from the second run.
Lets say cluster 1 from run1 and cluster 3 from run2 have 13 points in common, how do I find that number 13? I need to find this for all 6 clusters vs the 4 clusters in a form of table, what function in weka can I use to find these common points? Or if possible how can this be done without weka? I have the centroids for each cluster and the numbers of instances in each cluster.
data-mining clustering weka
asked Mar 25 at 18:50
deshawndeshawn
43
$endgroup$
add a comment |
$begingroup$
I am doing a Weka exercise using a dataset, and I'm supposed to do one run clustering with k means using 6 clusters, and another using 4. I have done this but I'm being asked to identify the number of common points between the 6 clusters from the first run and the 4 clusters from the second run.
Lets say cluster 1 from run1 and cluster 3 from run2 have 13 points in common, how do I find that number 13? I need to find this for all 6 clusters vs the 4 clusters in a form of table, what function in weka can I use to find these common points? Or if possible how can this be done without weka? I have the centroids for each cluster and the numbers of instances in each cluster.
data-mining clustering weka
asked Mar 25 at 18:50
deshawndeshawn
43
$endgroup$
$begingroup$
Did you try counting the points in a table?
$endgroup$
– Anony-Mousse
Mar 26 at 1:36
add a comment |
$begingroup$
I am doing a Weka exercise using a dataset, and I'm supposed to do one run clustering with k means using 6 clusters, and another using 4. I have done this but I'm being asked to identify the number of common points between the 6 clusters from the first run and the 4 clusters from the second run.
Lets say cluster 1 from run1 and cluster 3 from run2 have 13 points in common, how do I find that number 13? I need to find this for all 6 clusters vs the 4 clusters in a form of table, what function in weka can I use to find these common points? Or if possible how can this be done without weka? I have the centroids for each cluster and the numbers of instances in each cluster.
data-mining clustering weka
asked Mar 25 at 18:50
deshawndeshawn
43
$endgroup$
I am doing a Weka exercise using a dataset, and I'm supposed to do one run clustering with k means using 6 clusters, and another using 4. I have done this but I'm being asked to identify the number of common points between the 6 clusters from the first run and the 4 clusters from the second run.
Lets say cluster 1 from run1 and cluster 3 from run2 have 13 points in common, how do I find that number 13? I need to find this for all 6 clusters vs the 4 clusters in a form of table, what function in weka can I use to find these common points? Or if possible how can this be done without weka? I have the centroids for each cluster and the numbers of instances in each cluster.
data-mining clustering weka
data-mining clustering weka
asked Mar 25 at 18:50
deshawndeshawn
43
asked Mar 25 at 18:50
deshawndeshawn
43
asked Mar 25 at 18:50
deshawndeshawn
43
asked Mar 25 at 18:50
deshawndeshawn
43
asked Mar 25 at 18:50
deshawndeshawn
43
43
$begingroup$
Did you try counting the points in a table?
$endgroup$
– Anony-Mousse
Mar 26 at 1:36
add a comment |
$begingroup$
Did you try counting the points in a table?
$endgroup$
– Anony-Mousse
Mar 26 at 1:36
$begingroup$
Did you try counting the points in a table?
$endgroup$
– Anony-Mousse
Mar 26 at 1:36
$begingroup$
Did you try counting the points in a table?
$endgroup$
– Anony-Mousse
Mar 26 at 1:36
add a comment |
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$begingroup$
Did you try counting the points in a table?
$endgroup$
– Anony-Mousse
Mar 26 at 1:36