RSS 2 projects tagged "Clustering"

Download Website Updated 04 Jul 2011 K-tree

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Pop 74.83
Vit 1.96

K-tree provides a scalable approach to clustering by combining the B+-tree and k-means algorithms. Clustering can be used to solve problems in signal processing, machine learning, and other contexts. It has recently been used to solve document clustering problems on the Wikipedia collection.

Download Website Updated 07 Jan 2014 MLPACK

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Pop 102.70
Vit 2.66

MLPACK is a C++ machine learning library with an emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. It contains algorithms such as k-means, Gaussian mixture models, hidden Markov models, density estimation trees, kernel PCA, locality-sensitive hashing, sparse coding, linear regression and least-angle regression.

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Efax-gtk

A GUI frontend for the efax fax program.

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barvinok

A tool that counts the number of integer points in parametric polytopes.