A survey on feature selection approaches for clustering
The massive growth of data in recent years has led challenges in data mining and machine
learning tasks. One of the major challenges is the selection of relevant features from the …
learning tasks. One of the major challenges is the selection of relevant features from the …
Clustering by measuring local direction centrality for data with heterogeneous density and weak connectivity
Clustering is a powerful machine learning method for discovering similar patterns according
to the proximity of elements in feature space. It is widely used in computer science …
to the proximity of elements in feature space. It is widely used in computer science …
K-centroid link: a novel hierarchical clustering linkage method
In hierarchical clustering, the most important factor is the selection of the linkage method
which is the decision of how the distances between clusters will be calculated. It extremely …
which is the decision of how the distances between clusters will be calculated. It extremely …
Exploring microbial functional biodiversity at the protein family level—From metagenomic sequence reads to annotated protein clusters
Metagenomics has enabled accessing the genetic repertoire of natural microbial
communities. Metagenome shotgun sequencing has become the method of choice for …
communities. Metagenome shotgun sequencing has become the method of choice for …
Fully automated operational modal identification of regular and irregular buildings with ensemble learning
Modal identification, a type of system identification that employs modal analysis, can be
automated to reduce user interference in extracting modal parameters. Modal analysis is a …
automated to reduce user interference in extracting modal parameters. Modal analysis is a …
[HTML][HTML] The impact of the built-up environment of streets on pedestrian activities in the historical area
L Zhang, R Zhang, B Yin - Alexandria Engineering Journal, 2021 - Elsevier
Street vitality plays an important role in improving residents' quality of life and advancing
urban development. However, traditional research methods pay minimal attention to …
urban development. However, traditional research methods pay minimal attention to …
An inertia grey discrete model and its application in short-term traffic flow prediction and state determination
H Duan, X ** using DIvisive ANAlysis (DIANA) and RObust clustering using linKs (ROCK) algorithms, and comparison of their performance
DS Mwakapesa, Y Mao, X Lan, YA Nanehkaran - Sustainability, 2023 - mdpi.com
Landslide susceptibility map** (LSM) studies provide essential information that helps
various authorities in managing landslide-susceptible areas. This study aimed at applying …
various authorities in managing landslide-susceptible areas. This study aimed at applying …
Assessing sustainable development of deep aquifers
A Dietmaier, T Baumann - Water Resources Management, 2023 - Springer
Deep groundwater aquifers are exploited for a variety of purposes. In general, impermeable
rock layers protect these aquifers from anthropogenic influences. As such, they are a last …
rock layers protect these aquifers from anthropogenic influences. As such, they are a last …