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  2. List of cluster management software - Wikipedia

    en.wikipedia.org/wiki/List_of_cluster_management...

    ClusterVisor, [2] from Advanced Clustering Technologies [3] CycleCloud, from Cycle Computing acquired By Microsoft; Komodor, Enterprise Kubernetes Management Platform; Dell/EMC - Remote Cluster Manager (RCM) DxEnterprise, [4] from DH2i [5] Evidian SafeKit; HPE Performance Cluster Manager - HPCM, from Hewlett Packard Enterprise Company; IBM ...

  3. Automatic clustering algorithms - Wikipedia

    en.wikipedia.org/wiki/Automatic_Clustering...

    BIRCH (balanced iterative reducing and clustering using hierarchies) is an algorithm used to perform connectivity-based clustering for large data-sets. [7] It is regarded as one of the fastest clustering algorithms, but it is limited because it requires the number of clusters as an input.

  4. Super star cluster - Wikipedia

    en.wikipedia.org/wiki/Super_star_cluster

    A super star cluster (SSC) is a very massive young open cluster that is thought to be the precursor of a globular cluster. [1] These clusters called "super" because they are relatively more luminous and contain more mass than other young star clusters. [ 2 ]

  5. Tanagra (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Tanagra_(machine_learning)

    Tanagra is a free suite of machine learning software for research and academic purposes developed by Ricco Rakotomalala at the Lumière University Lyon 2, France. [1] [2] Tanagra supports several standard data mining tasks such as: Visualization, Descriptive statistics, Instance selection, feature selection, feature construction, regression, factor analysis, clustering, classification and ...

  6. Fuzzy clustering - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_clustering

    Fuzzy clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster.. Clustering or cluster analysis involves assigning data points to clusters such that items in the same cluster are as similar as possible, while items belonging to different clusters are as dissimilar as possible.

  7. Meta Teams With Blumhouse and Filmmakers Like Casey ... - AOL

    www.aol.com/meta-teams-blumhouse-filmmakers...

    Meta has put its generative AI video system in the hands of some Hollywood filmmakers — hoping to build goodwill with the industry and gather feedback on how to improve the tool. The tech giant ...

  8. Biclustering - Wikipedia

    en.wikipedia.org/wiki/Biclustering

    Biclustering, block clustering, [1] [2] Co-clustering or two-mode clustering [3] [4] [5] is a data mining technique which allows simultaneous clustering of the rows and columns of a matrix. The term was first introduced by Boris Mirkin [ 6 ] to name a technique introduced many years earlier, [ 6 ] in 1972, by John A. Hartigan .

  9. Comparison of cluster software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_cluster_software

    Any cluster Posix FS (gfs, gpfs, ocfs, etc.) Any cluster Posix FS (gfs, gpfs, ocfs, etc.) Heterogeneous OS Nice level OS Nice level SOA Queues, FIFO Yes OS Limits OS Limits Yes Yes No No HTCondor: C++: GSI, SSL, Kerberos, Password, File System, Remote File System, Windows, Claim To Be, Anonymous None, Triple DES, BLOWFISH None, MD5 None, NFS, AFS