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  2. k-means++ - Wikipedia

    en.wikipedia.org/wiki/K-means++

    In data mining, k-means++ [1] [2] is an algorithm for choosing the initial values (or "seeds") for the k-means clustering algorithm. It was proposed in 2007 by David Arthur and Sergei Vassilvitskii, as an approximation algorithm for the NP-hard k-means problem—a way of avoiding the sometimes poor clusterings found by the standard k-means algorithm.

  3. 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).

  4. 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]

  5. 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.

  6. Mass poisoning blamed on tainted alcohol, with American among ...

    www.aol.com/news/mass-poisoning-blamed-tainted...

    An American citizen has died at a popular adventure spot in Laos where alcohol tainted with methanol has been blamed for a spate of poisonings in recent days.. The State Department said the U.S ...

  7. 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]

  8. 'Front-row seats to something amazing': In 2024, the sports ...

    www.aol.com/front-row-seats-something-amazing...

    Some were the sort that have never been seen before, in a good way: Shohei Ohtani, on the night he started baseball's 50-50 club, drove in 10 runs in a performance for the ages. Some were the sort ...

  9. Costco membership growth 'robust,' even amid fee increase ...

    www.aol.com/costco-membership-growth-robust-even...

    More shoppers came to Costco stores in the three months ending Nov. 24, just days ahead of Black Friday. The company saw sales up 7.5% over last year.