Cluster 3.0

Cluster 3.0

Michiel de Hoon, University of Tokyo – Freeware – Android iOS Windows
Latest Version
3.0
Safe to install

Efficient Clustering Made Easy with Cluster

Minh Ong

Cluster by Michiel de Hoon offers intuitive tools for analyzing large datasets through effective clustering methods, making it a must-have for researchers and data analysts.
image/svg+xml 2025 Editor's Rating

Cluster is an impressive platform that allows you to create private groups to share precious moments through photos and videos with your loved ones. Whether it's family, friends, colleagues, or people from your hometown, you can easily create a group to connect and share with them.

This platform is particularly beneficial for various user groups:

  • New Moms: Share photos of your newborn with close friends and family without overwhelming everyone on other social networks.
  • College Students: Share memories with friends that may not be suitable for sharing on Facebook.
  • Families: Stay connected and in touch, even when you're not physically together.

A multitude of users already rely on Cluster for their group sharing needs. Here are some reasons why:

  • Private & secure: Only group members invited by the admin have access to the shared content.
  • Accessible for all: You can access Cluster through its user-friendly mobile apps or via the web.
  • Relevant notifications: Stay up-to-date with new posts from invited members in your groups.

The process of using Cluster is incredibly straightforward:

  1. Create a group.
  2. Add the people you want to share with.
  3. Start sharing photos, videos, and notes together.

Users have expressed their love for Cluster and its functionality:

  • "The app is fantastic! My sister and I were thrilled when we discovered it. We created a family group, including our big brother in Europe, our sister traveling for four months, and the rest of the family in Chile. They upload pictures, and we can keep track of their experiences. It's very user-friendly, even our grandmother is part of the group!"
  • "Among the 10 photo-sharing apps I downloaded, Cluster was the only one that met my requirements. I needed an app that allowed multiple albums, had a universal join feature, password protection, and was simple to use. I deleted every other app except for Cluster because they were either too complicated to explain, set up and upload, or had limitations on the number of albums. They also required Bluetooth or Wi-Fi to share or relied on social media accounts for setup. Your app serves all my purposes perfectly. It's great, fabulous, fun, & simple! Keep up the good work!"
  • "I really appreciate the app's privacy feature. Only invited people or those with a code can access our pictures."
  • "I want to express my gratitude for such a wonderful product – it has brought us even closer together. The constant banter, photo streams, and comedy have been awesome. As far as my feedback goes, this is an amazing program, and we'll continue using it as long as it's available!"

The press has also recognized the merits of Cluster:

  • Cluster has been featured by the Apple App Store ("New and Noteworthy"), NYTimes, TechCrunch, and many more!

If you want more control over your groups, you can consider subscribing to Cluster Club. This monthly or annual subscription provides additional features for admins. You can explore this option by visiting the Settings → Subscription Settings section of the app.

Please note that purchasing a subscription indicates your agreement to Cluster's Terms of Use: https://cluster.co/terms/ and Privacy Policy: https://cluster.co/privacy/.

Overview

Cluster is a Freeware software in the category Games & Entertainment developed by Michiel de Hoon, University of Tokyo.

The latest version of Cluster is 3.0, released on 02/18/2008. It was initially added to our database on 10/29/2007.

Cluster runs on the following operating systems: Android/iOS/Windows.

Cluster has not been rated by our users yet.

Pros

  • Open-source software available for free
  • Provides various clustering algorithms for different types of data
  • User-friendly interface for performing clustering analysis
  • Allows customization of clustering parameters to suit specific analysis needs

Cons

  • May require some technical expertise to fully utilize all features and functionalities
  • Documentation and support resources may be limited compared to commercial software products

FAQ

What is Cluster by Michiel de Hoon, University of Tokyo?

Cluster is a widely-used software package developed by Michiel de Hoon, a researcher at the University of Tokyo. It is used for clustering analysis of gene expression data.

What is clustering analysis?

Clustering analysis is a technique used to categorize similar items or data points into groups or clusters based on their shared characteristics or patterns.

What types of data can be analyzed using Cluster?

Cluster can analyze various types of data, including gene expression data, RNA sequencing data, microarray data, and other high-dimensional datasets.

What are the key features of Cluster?

Cluster offers various clustering algorithms, such as hierarchical clustering and k-means clustering. It also provides visualization tools for exploring and interpreting clustering results.

Is Cluster free to use?

Yes, Cluster is an open-source software package and is available for free to academic and non-commercial users. It can be downloaded from the official website.

Can Cluster handle large datasets?

Yes, Cluster is designed to handle large datasets efficiently. It utilizes optimized algorithms and data structures to ensure scalability.

Are there any tutorials or documentation available for Cluster?

Yes, the official website of Cluster provides comprehensive documentation, tutorials, and example datasets to help users get started with the software.

Is technical support available for Cluster?

Although there may not be dedicated technical support for Cluster, there are user forums and online communities where users can seek help and discuss any issues they encounter.

Can I contribute to the development of Cluster?

Yes, Cluster is an open-source project, and contributions from the community are welcome. Users can contribute bug reports, feature requests, or even code improvements.

Is Cluster actively maintained and updated?

As of the current information available, Cluster is actively maintained and updated by Michiel de Hoon and his team at the University of Tokyo to ensure its functionality and compatibility.


Minh Ong

Minh Ong

I'm Minh, a software engineer and author with a passion for exploring and writing about the latest in software and technology. With my experience in software development and a specialization in software updates and content creation, I bring a deep understanding of the tech landscape to my reviews and articles. My focus is on providing you with comprehensive insights into general software topics and the latest industry news.

Latest Reviews by Minh Ong

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