LMW-tree by cmdevries

LMW-tree is a generic template library written in C that implements several algorithms that use the m-way nearest neighbor tree structure to store their data. The algorithms and data structures are generic to support different data representations and functionality. The algorithms are primarily focussed on computationally efficient clustering. Clustering. Is an unsupervised machine learning. The Parallel Streaming Signature EM-tree. Has produced document clusters for the ClueWeb. Lance De Vine ldevine.

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Perplexing Permutations

The musings of Chris de Vries. Sunday, 31 May 2015. Analyses written language in unstructured text to place documents into topically related groups, clusters, or topics. Documents such as web pages are automatically grouped together by a computer program so that pages talking about the same concepts are in the same cluster and those talking about different concepts are in different clusters. This is performed in an unsupervised.

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LMW-tree by cmdevries

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LMW-tree is a generic template library written in C that implements several algorithms that use the m-way nearest neighbor tree structure to store their data. The algorithms and data structures are generic to support different data representations and functionality. The algorithms are primarily focussed on computationally efficient clustering. Clustering. Is an unsupervised machine learning. The Parallel Streaming Signature EM-tree. Has produced document clusters for the ClueWeb. Lance De Vine ldevine.

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