Frontiers

Persistence-based clustering with outlier-removing filtration

This article describes a non-parametric clustering algorithm with an outlier removal step. Our method is based on tools from topological data analysis: we define a new filtration on metric spaces ...
Scientific Research Publishing

Hyperparameter Tuning Based Machine Learning Classifier for Breast Cancer Prediction ()

Currently, the second most devastating form of cancer in people, particularly in women, is Breast Cancer (BC). In the healthcare industry, Machine Learning (ML) is commonly employed in fatal disease ...
Frontiers

Evaluating dimensionality reduction for genomic prediction

The development of genomic selection (GS) methods has allowed plant breeding programs to select favorable lines using genomic data before performing field trials. Improvements in genotyping technology ...
Scientific Research Publishing

Performance Comparison of Various Machine Learning Approaches to Identify the Best One in Predicting Heart Disease ()

1 Electronics and Communications Department, Al-Safwa High Institute of Engineering, Qalyubia, Egypt. 2 Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, ...
PNAS

Algorithms to automatically quantify the geometric similarity of anatomical surfaces

We describe approaches for distances between pairs of two-dimensional surfaces (embedded in three-dimensional space) that use local structures and global information contained in interstructure ...
PNAS

From time series to complex networks: The visibility graph

In this work we present a simple and fast computational method, the visibility algorithm, that converts a time series into a graph. The constructed graph inherits several properties of the series in ...