Experiments are performed on K-means clustering and neural networks with ReLU activation function. As the intermediate P-split formulations can form strong outer approximations of the convex hull with fewer variables and constraints than the extended convex hull formulations it can give significant ...
Data Scientist – CGIAR Excellence in Agronomy (Ref No: DDG-R4D/DS/1/CG/EA/06/20) Data Analytics Auditor, Future of Audit Lead @ London or Newcastle python-bloggers.com (python/data-science news) Object Oriented Programming in Python – What and Why? Dunn Index for K-Means Clusteri...
jv-k / IntroductionToMachineLearningWithTensorFlow Public forked from danielmapar/IntroductionToMachineLearningWithTensorFlow Notifications Fork 0 Star 1 Intro to Machine Learning with TensorFlow Nanodegree Program: https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--...
(DL) and its representation learning approach are increasingly been proposed for program code analysis potentially providing a powerful means in making software systems less vulnerable. This systematic literature review (SLR) is aiming for a thorough analysis and comparison of 32 primary studies on DL...
OPPORTUNITIES OF THE NORMALIZATION ALGORITHM IN THE PYTHON-HRM PROGRAM FOR CLUSTERING SAMPLES BY THE HIGH-RESOLUTION MELTING OF AMPLICONS (HRM-ANALYSIS)E V SnytkovSmirnova EGViachaslau KipenSergei Melnov
136 Clara Automated clustering and program repair for introductory programming assignments 2018 PLDI https://github.com/iradicek/clara Python 12,973 correct and 4,293 incorrect (total 17,266) student attempts from an MITx MOOC, written in Python A 137 FootPatch Static automated program repair for...
The number of sessions in each time point was normalized and averaged across time points to form an overall user engagement score. This score was applied as a continuous variable and as a categorical variable by clustering it using K-means algorithm to 3 groups: low-, medium-, and high-...
K-means clustering to generate hydrogen-bond, aromatic and ionic pharmacophores was performed over the grid points associated with the same nearest functional group. For example, in generating a hydrogen-bond donor pharmacophore, the program iterates through all protein acceptors, and groups the grid...
the execution of the experiment (e.g. going to the services), or finish the experiment earlier. We did not explicitly track whether the participants communicated with each other during the individual breaks. However, we did not observe groups of participants clustering together during the breaks....
This study aimed to create a loyalty program for a private security company’s most valuable customers using clustering techniques on a dataset from the company. K-means was employed as an unsupervised machine learning algorithm to segment customers. Performance evaluation metrics, including the silhoue...