[Work] clustering

Cluster: An Unsupervised Algorithm for Modeling Gaussian Mixtures
Charles A. Bouman

Klustakwik
KlustaKwik is a program for unsupervised classification of multidimensional
continuous data. It arose from a specific need - automatic sorting of neuronal
action potential waveforms (see KD Harris et al, Journal of Neurophysiology
84:401-414,2000), but works for any type of data. We needed a program that
would:
1) Fit a mixture of Gaussians with unconstrained covariance matrices
2) Automatically choose the number of mixture components
3) Be robust against noise
4) Reduce the problem of local minima
5) Run fast on large data sets (up to 100000 points, 48 dimensions)

AutoClass C
AutoClass is an unsupervised Bayesian classification system that seeks a maximum posterior probability classification.

Research in Data Clustering
Welcome to the data clustering page at Michigan State University!

open source clustering software

Efficient Algorithms for K-Means Clustering
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu

ANN: A Library for Approximate Nearest Neighbor Searching
David M. Mount and Sunil Arya

A Fast Implementation of the ISODATA Clustering Algorithm
Nargess Memarsadeghi, David M. Mount, Nathan S. Netanyahu, and Jacqueline Le Moigne