[图书][B] Gene expression data analysis: a statistical and machine learning perspective
Development of high-throughput technologies in molecular biology during the last two
decades has contributed to the production of tremendous amounts of data. Microarray and …
decades has contributed to the production of tremendous amounts of data. Microarray and …
An Intelligent Clustering Approach For Analyzing A Multivariate Time Series Dataset, Case Study COVID-19 Outbreak in Indonesia
T Handhayani, I Lewenusa - 2023 17th International …, 2023 - ieeexplore.ieee.org
The coronavirus disease 2019 (COVID-19) became a pandemic across the world in 2020-
2022. Indonesia is one of the countries affected by the COVID-19 outbreak. As an …
2022. Indonesia is one of the countries affected by the COVID-19 outbreak. As an …
Hybridization of K-means Clustering Using Different Distance Function to Find the Distance Among Dataset
Clustering using K-means algorithm is very common way to understand and analyze the
obtained output data. This clustering is done by making a sample collection of similar …
obtained output data. This clustering is done by making a sample collection of similar …
Two-class clustering of nonlinearly separable data by using shape-specific points
WJ Lin - 2016 IEEE 12th Image, Video, and Multidimensional …, 2016 - ieeexplore.ieee.org
Shape-specific points are special data points invariant to translation, scaling, and rotation.
The radius weighted mean (RWM) and the system center are two examples of shape …
The radius weighted mean (RWM) and the system center are two examples of shape …