Cyrus  Kreiger

Cyrus Kreiger


How To Report The Distribution Of Attributes Per Cluster

This is a very useful add-on report for a Clustering project. You will get the distribution of the Attributes per Cluster in a summarised Pandas Dataframe.

#python #clustering #distribution #features #python

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How To Report The Distribution Of Attributes Per Cluster
Cyrus  Kreiger

Cyrus Kreiger


How To Report The Distribution Of Attributes Per Cluster

This is a very useful add-on report for a Clustering project. You will get the distribution of the Attributes per Cluster in a summarised Pandas Dataframe.

#python #clustering #distribution #features #python

Origin Scale

Origin Scale


Dashboard Reporting Software

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Elton  Bogan

Elton Bogan


SciPy Cluster - K-Means Clustering and Hierarchical Clustering

SciPy is the most efficient open-source library in python. The main purpose is to compute mathematical and scientific problems. There are many sub-packages in SciPy which further increases its functionality. This is a very important package for data interpretation. We can segregate clusters from the data set. We can perform clustering using a single or multi-cluster. Initially, we generate the data set. Then we perform clustering on the data set. Let us learn more SciPy Clusters.

K-means Clustering

It is a method that can employ to determine clusters and their center. We can use this process on the raw data set. We can define a cluster when the points inside the cluster have the minimum distance when we compare it to points outside the cluster. The k-means method operates in two steps, given an initial set of k-centers,

  • We define the cluster data points for the given cluster center. The points are such that they are closer to the cluster center than any other center.
  • We then calculate the mean for all the data points. The mean value then becomes the new cluster center.

The process iterates until the center value becomes constant. We then fix and assign the center value. The implementation of this process is very accurate using the SciPy library.

#numpy tutorials #clustering in scipy #k-means clustering in scipy #scipy clusters #numpy

Kubernetes Cluster Federation With Admiralty

Kubernetes today is a hugely prevalent tool in 2021, and more organizations are increasingly running their applications on multiple clusters of Kubernetes. But these multiple cluster architectures often have a combination of multiple cloud providers, multiple data centers, multiple regions, and multiple zones where the applications are running. So, deploying your application or service on clusters with such diverse resources is a complicated endeavor. This challenge is what the process of a federation is intended to help overcome. The fundamental use case of a federation is to scale applications on multiple clusters with ease. The process negates the need to perform the deployment step more than once. Instead, you perform one deployment, and the application is deployed on multiple clusters as listed in the federation list.

What Is Kubernetes Cluster Federation?

Essentially, the Kubernetes cluster federation is a mechanism to provide one way or one practice to distribute applications and services to multiple clusters. One of the most important things to note is that federation is not about cluster management, federation is about application management.

Cluster federation is a way of federating your existing clusters as one single curated cluster. So, if you are leveraging Kubernetes clusters in different zones in different countries, you can treat all of them as a single cluster.

In cluster federation, we optimize a host cluster and multiple-member clusters. The host cluster comprises all the configurations which pass on all the member clusters. Member clusters are the clusters that share the workloads. It is possible to have a host cluster also share the workload and act as a member cluster, but organizations tend to keep the host clusters separate for simplicity. On the host cluster, it’s important to install the cluster registry and the federated API. Now with the cluster registry, the host will have all the information to connect to the member Clusters. And with the federated API, you require all the controllers running on our host clusters to make sure they reconcile the federated resources. In a nutshell, the host cluster will act as a control plane and propagate and push configuration to the member clusters.

#kubernetes #cluster #cluster management #federation #federation techniques #cluster communication

Adele Hansley

Adele Hansley


What are the Trending Topics in Technical Report Writing?

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