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  2. Help:Cite errors/Cite error ref too many keys - Wikipedia

    en.wikipedia.org/.../Cite_error_ref_too_many_keys

    Remember, to use any troubleshooting help page successfully, double-check any error-causing wikitext against every single piece of the example code. Attempting to create a note You might be trying to create a reference in the "note" group.

  3. 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]

  4. Apache Solr - Wikipedia

    en.wikipedia.org/wiki/Apache_Solr

    Solr (pronounced "solar") is an open-source enterprise-search platform, written in Java.Its major features include full-text search, hit highlighting, faceted search, real-time indexing, dynamic clustering, database integration, NoSQL features [2] and rich document (e.g., Word, PDF) handling.

  5. Primary clustering - Wikipedia

    en.wikipedia.org/wiki/Primary_clustering

    In computer programming, primary clustering is a phenomenon that causes performance degradation in linear-probing hash tables.The phenomenon states that, as elements are added to a linear probing hash table, they have a tendency to cluster together into long runs (i.e., long contiguous regions of the hash table that contain no free slots).

  6. Linear probing - Wikipedia

    en.wikipedia.org/wiki/Linear_probing

    Linear probing is a component of open addressing schemes for using a hash table to solve the dictionary problem.In the dictionary problem, a data structure should maintain a collection of key–value pairs subject to operations that insert or delete pairs from the collection or that search for the value associated with a given key.

  7. MinHash - Wikipedia

    en.wikipedia.org/wiki/MinHash

    The Jaccard similarity coefficient is a commonly used indicator of the similarity between two sets. Let U be a set and A and B be subsets of U, then the Jaccard index is defined to be the ratio of the number of elements of their intersection and the number of elements of their union:

  8. Help:Cite errors/Cite error references missing key - Wikipedia

    en.wikipedia.org/wiki/Help:Cite_errors/Cite...

    If you have read this help page and find something missing or confusing, please discuss it at the main talk page. Please reference this page and the page where you have the problem so we can understand your issues.

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

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

    The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]