K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …
[HTML][HTML] A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies
Urban vulnerability to emergencies has become a relevant issue as cities get bigger and the
negative impacts of climatic changes become more prominent. In recent years, smart city …
negative impacts of climatic changes become more prominent. In recent years, smart city …
MLIBT: A multi-level improvised binarization technique for Tamizhi inscriptions
The Tamizhi inscriptions, one of the earliest ever discovered, is predominantly found on
memorial stones and caves which dates 5th century BCE to 3rd century CE. Today's …
memorial stones and caves which dates 5th century BCE to 3rd century CE. Today's …
Unsupervised Machine Learning Driven Analysis of Verbatims of Treatment-Resistant Schizophrenia Patients Having Followed Avatar Therapy
A Hudon, M Beaudoin, K Phraxayavong… - Journal of Personalized …, 2023 - mdpi.com
(1) Background: The therapeutic mechanisms underlying psychotherapeutic interventions
for individuals with treatment-resistant schizophrenia are mostly unknown. One of these …
for individuals with treatment-resistant schizophrenia are mostly unknown. One of these …
A proposed multi-level predictive WKM_ID3 algorithm, towards enhancing supply chain management in healthcare field
This research proposes a multi-level predictive algorithm based on the k-means algorithm
with multiple adaptations. The research highlights the main limitations of k-means and …
with multiple adaptations. The research highlights the main limitations of k-means and …
Accuracy and Performance of Machine Learning Methodologies: Novel Assessments of Country Pandemic Vulnerability Based on Non-Pandemic Predictors
MM Vlajnic, SJ Simske - IEEE Access, 2023 - ieeexplore.ieee.org
The devastating effects of the COVID-19 pandemic created a need for sensitive and
accurate machine learning methodologies for assessment of predictors of pandemic …
accurate machine learning methodologies for assessment of predictors of pandemic …
Revealing chronic disease progression patterns using Gaussian process for stage inference
Objective The early stages of chronic disease typically progress slowly, so symptoms are
usually only noticed until the disease is advanced. Slow progression and heterogeneous …
usually only noticed until the disease is advanced. Slow progression and heterogeneous …
A hybrid deep learning framework for daily living human activity recognition with cluster-based video summarization
In assisted living facilities or nursing homes, residents' movements or actions can be
monitored using Human Activity Recognition (HAR), ensuring they receive proper care and …
monitored using Human Activity Recognition (HAR), ensuring they receive proper care and …
Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations
Social media platforms play a vital role in determining valuable tourist objectives, which
greatly aids in optimizing tourist path planning. As data classification and analysis methods …
greatly aids in optimizing tourist path planning. As data classification and analysis methods …
Automated Sensor Node Malicious Activity Detection with Explainability Analysis
Cybersecurity has become a major concern in the modern world due to our heavy reliance
on cyber systems. Advanced automated systems utilize many sensors for intelligent decision …
on cyber systems. Advanced automated systems utilize many sensors for intelligent decision …