Hello everyone
I am using the DSDL app: https://splunkbase.splunk.com/app/4607
The model I use is sklearn's kmeans: https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html...
I am hoping to do kmeans analysis on my firewall traffic in a way that gives me 10 buckets for each destination port. something like:
search network traffic | kmeans k=10 bytes_out by d...
So I'm new to the Machine Learning Toolkit and I'm trying to model something that I thought would be somewhat straightforward, but I'm beginning to realize that I might need more of an understanding ...
How to calculate the centroid of each cluser after using KMeans clustering algorithm? I have tried the following but none of them worked: 1 - | inputlookup iris.csv | fit KMeans k=3...
I have been trying to do kmeans analysis of some data. I see some of my evaluation points falling into lots of clusters, but with heavy weighting towards 1-2 clusters. Is there a way to call this o...
In my new dashboard, I use the Kmeans algorithm twice. The clustering is different in each case, is there a way to fix the random seed used within the algorithm? I want to fix the r...
From my data below, I can see peaks in the CPU usage of a machine. I can add other fields to the graph, and visually compare the shapes to see when the two fields cross correlate, but how can I ask ...
I have a table of data that is clustered via KMeans, I am trying to filter down to only display the other items in a particular cluster, but since the cluster number is done on the fly, this is p...
Hi all,
I have some questions about the k-means clustering, and would be good to get some confirmation on this. What happened was I have trained my model with sample data and it clustered my data ...
I would like to use k-means clustering on a field (k=2) and then discard the search results in the cluster with the smaller mean. kmeans appends the CLUSTERNUM but not the values it converged to. I...