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  2. Automatic clustering algorithms - Wikipedia

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

    Given a set of n objects, centroid-based algorithms create k partitions based on a dissimilarity function, such that k≤n. A major problem in applying this type of algorithm is determining the appropriate number of clusters for unlabeled data. Therefore, most research in clustering analysis has been focused on the automation of the process.

  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).

  4. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    This may improve the joins of these tables on the cluster key, since the matching records are stored together and less I/O is required to locate them. [2] The cluster configuration defines the data layout in the tables that are parts of the cluster. A cluster can be keyed with a B-tree index or a hash table. The data block where the table ...

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

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

    Explained Variance. The "elbow" is indicated by the red circle. The number of clusters chosen should therefore be 4. The elbow method looks at the percentage of explained variance as a function of the number of clusters: One should choose a number of clusters so that adding another cluster does not give much better modeling of the data. More ...

  6. Key clustering - Wikipedia

    en.wikipedia.org/wiki/Key_clustering

    Key or hash function should avoid clustering, the mapping of two or more keys to consecutive slots. Such clustering may cause the lookup cost to skyrocket, even if the load factor is low and collisions are infrequent. The popular multiplicative hash [1] is claimed to have particularly poor clustering behaviour. [2]

  7. 80 of the Most Useful Excel Shortcuts - AOL

    www.aol.com/lifestyle/80-most-useful-excel...

    These shortcuts, also called hotkeys, consist of two or more keys pressed at the same time. Here are some of the most useful Excel hotkeys to make a wide range of spreadsheet tasks easier.

  8. Model-based clustering - Wikipedia

    en.wikipedia.org/wiki/Model-based_clustering

    In statistics, cluster analysis is the algorithmic grouping of objects into homogeneous groups based on numerical measurements. Model-based clustering [1] based on a statistical model for the data, usually a mixture model.

  9. Yes, You Can Rent Out Your Eyeball For Money

    testkitchen.huffingtonpost.com/eyedynasty

    n November 1954, 29-year-old Sammy Davis Jr. was driving to Hollywood when a car crash left his eye mangled beyond repair. Doubting his potential as a one-eyed entertainer, the burgeoning performer sought a solution at the same venerable institution where other misfortunate starlets had gone to fill their vacant sockets: Mager & Gougelman, a family-owned business in New York City that has ...