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  2. Microsoft Exchange Server - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Exchange_Server

    Exchange Web Services (EWS), an alternative to the MAPI protocol, is a documented SOAP -based protocol introduced with Exchange Server 2007. Exchange Web Services is used by the latest version of Microsoft Entourage for Mac and Microsoft Outlook for Mac - since the release of Mac OS X Snow Leopard Mac computers running OS X include some support ...

  3. Cluster analysis - Wikipedia

    en.wikipedia.org/wiki/Cluster_analysis

    Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some specific sense defined by the analyst) to each other than to those in other groups (clusters). It is a main task of exploratory data analysis, and a common technique for statistical ...

  4. History of Microsoft Exchange Server - Wikipedia

    en.wikipedia.org/wiki/History_of_Microsoft...

    History of Microsoft Exchange Server. The first release of Microsoft Exchange Server was version 4.0 in April 1996, when it was sold as an upgrade to Microsoft Mail 3.5. Before that, Microsoft Mail v2.0 (written by Microsoft) was replaced in 1991 by "Microsoft Mail for PC Networks v2.1", [1] based on Network Courier from its acquisition of ...

  5. Clustering coefficient - Wikipedia

    en.wikipedia.org/wiki/Clustering_coefficient

    In graph theory, a clustering coefficient is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterised by a relatively high density of ties; this likelihood tends to be greater than the average probability of a tie randomly established ...

  6. Determining the number of clusters in a data set - Wikipedia

    en.wikipedia.org/wiki/Determining_the_number_of...

    Determining the number of clusters in a data set, a quantity often labelled k as in the k -means algorithm, is a frequent problem in data clustering, and is a distinct issue from the process of actually solving the clustering problem. For a certain class of clustering algorithms (in particular k -means, k -medoids and expectation–maximization ...

  7. Biclustering - Wikipedia

    en.wikipedia.org/wiki/Biclustering

    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.

  8. 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.

  9. Microsoft Cluster Server - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Cluster_Server

    Utility software. License. Same as Windows Server. Microsoft Cluster Server (MSCS) is a computer program that allows server computers to work together as a computer cluster, to provide failover and increased availability of applications, or parallel calculating power in case of high-performance computing (HPC) clusters (as in supercomputing ).