A systematic literature review on identifying patterns using unsupervised clustering algorithms: A data mining perspective
M Chaudhry, I Shafi, M Mahnoor, DLR Vargas… - Symmetry, 2023 - mdpi.com
Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …
Development of new seed with modified validity measures for k-means clustering
S Manochandar, M Punniyamoorthy… - Computers & Industrial …, 2020 - Elsevier
Conventional k-means clustering is the widely used partitional method, mainly adapted to
machine learning and pattern recognition problems. This algorithm is highly sensitive to …
machine learning and pattern recognition problems. This algorithm is highly sensitive to …
Condensed silhouette: An optimized filtering process for cluster selection in K-means
A Naghizadeh, DN Metaxas - Procedia Computer Science, 2020 - Elsevier
In K-Means based clustering algorithms, different initial seeds can lead to different clustering
results. Selecting the best result from different initial seeds is called the filtering process. The …
results. Selecting the best result from different initial seeds is called the filtering process. The …
Parkinson's disease severity clustering based on tapping activity on mobile device
D Surangsrirat, P Sri-Iesaranusorn, A Chaiyaroj… - Scientific Reports, 2022 - nature.com
In this study, we investigated the relationship between finger tapping tasks on the
smartphone and the MDS-UPDRS I–II and PDQ-8 using the mPower dataset. mPower is a …
smartphone and the MDS-UPDRS I–II and PDQ-8 using the mPower dataset. mPower is a …
Identifying genetic signatures from single-cell rna sequencing data by matrix imputation and reduced set gene clustering
In this current era, the identification of both known and novel cell types, the representation of
cells, predicting cell fates, classifying various tumor types, and studying heterogeneity in …
cells, predicting cell fates, classifying various tumor types, and studying heterogeneity in …
Clustering algorithms in an educational context: An automatic comparative approach
Despite an increasing consensus regarding the significance of properly identifying the most
suitable clustering method for a given problem, a surprising amount of educational research …
suitable clustering method for a given problem, a surprising amount of educational research …
[PDF][PDF] Implementation of K-Medoids and FP-Growth Algorithms for Grouping and Product Offering Recommendations
I Syukra, A Hidayat, MZ Fauzi - Indonesian Journal of Artificial …, 2019 - researchgate.net
212 Mart Rambutan Street on Pekanbaru City is a company engaged in retail. Meeting the
needs of consumers and making the right decision in determining the sales strategy is a …
needs of consumers and making the right decision in determining the sales strategy is a …
LabelForest: Non-parametric semi-supervised learning for activity recognition
Y Ma, H Ghasemzadeh - Proceedings of the AAAI Conference on …, 2019 - ojs.aaai.org
Activity recognition is central to many motion analysis applications ranging from health
assessment to gaming. However, the need for obtaining sufficiently large amounts of labeled …
assessment to gaming. However, the need for obtaining sufficiently large amounts of labeled …
Partitioning and hierarchical based clustering: a comparative empirical assessment on internal and external indices, accuracy, and time
Clustering is an unsupervised data mining technique where exploration is done with little
knowledge of data classes. Its aim is to recognize the hidden information from the data for …
knowledge of data classes. Its aim is to recognize the hidden information from the data for …
A clustering approach for modularizing service-oriented systems
O Ezzat, K Medini, X Boucher, X Delorme - Journal of Intelligent …, 2022 - Springer
Companies are seeking more and more to offer customized goods and services to
customers to be able to satisfy their needs. Several methods emerged to fulfill the needs of …
customers to be able to satisfy their needs. Several methods emerged to fulfill the needs of …