rmaestre/dtw
DTW (Dynamic Time Warping) python module
Discovered public repositories for rmaestre in the GitHub catalog.
DTW (Dynamic Time Warping) python module
The GIS Tools for Hadoop are a collection of GIS tools for spatial analysis of big data.
The second generation of SpatialHadoop that ships as an extension
Parallel Groebner Basis Computation
Anomaly Detection with R
Gaussian Mixture Model Implementation in Pyspark
FastDTW- Dynamic Time Warping (DTW) with a linear time and memory complexity
This project generalizes the Spark MLLIB K-Means clusterer to support arbitrary distance functions
A Python wrapper around the libmemcached interface from TangentOrg.
Curso de EDA y Dataviz
Exploring stories based around movement through space and time.
A spatial autocorrelation to study home intrusions
SVM model for domain detection between electronics and hotels
Amazon reviews datasets study through extended sentiwordnet domain
A map reduce approach to SVM classification. http://r-es.org/Concursos+V+Jornadas
Código y presentaciones del seminario "Twitter Dynamics" impartido por Paradigma el 19/01/2012
Sentiwordnet (English and Spanish linked) binding class to perform Sentiment Analysis and Opinion Mining
simple rule based system for a sentiment analysis
K-fold model and algorithm validation
Monte Carlo simulation, or probability simulation, is a technique used to understand the impact of risk and uncertainty in financial, project management, cost, and other forecasting models.
Multi Objective Simulated Annealing algorithm sample
Public repository.
Exploring evolutionary robotics through simulation.
M/M/c/k script to simulate this kind of tail system
financial unitex
Class for manage Unitex from python
Montecarlo simulation examples
Twitter semantic recommender based of entities detected by Wikipedia NER
Open bigram datasets for several languages (Spanish, English, German, French, Catalan)
In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual dependence of the two random variables. This script performs MI over Mutual Information over discrete random variables