Search Results for "clustering algorithm matlab" - Page 8

OpenMosix Sim is a simulation of the algorithm used for process distribution in OpenMosix kernel. The algorithm is simplified.

Implementation of a Silhouette extraction algorithm [1]. Coded in octave (matlab). [1] M. Yamada, K. Ebihara, and J. Ohya. A New Robust Real-time Method for Extracting Human Silhouettes from Color Images. Int. Conf. on Auto. Face and Gesture Recog., 1998

Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...

iClust is an information-based clustering algorithm, based upon methods and approaches described in the paper "Information-based clustering" by Noam Slonim

MIRtoolbox is a Matlab toolbox dedicated to the extraction of musical features from audio files, statistical analysis, segmentation and clustering. Through a user-friendly syntax, low and high-level operators can be combined into complex flowcharts.

UANA (Universal Abstract Numerical Algorithm) is a c++ api for developers to write algorithms independant of the underlying data container classes.

nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.

This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.

...This technique can, however, obscure the precise locations of binding sites in close proximity to each other, which would be found when analyzing high-throughput data for enzymes whose activity require multiple RNA binding sites, as well as for overlapping distinct ncRNA loci derived from processing events. We present a density clustering approach based on the OPTICS algorithm which can detect any number of RNA binding sites indicated by the data without prior knowledge of the expected length or number of binding sites in the transcript.