Cover Image

Ranked differences Pearson correlation dissimilarity with an application to electricity users time series clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Charoensuk, Chutiphan, Wiroonsri, Nathakhun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Clustering performance analysis using a new correlation-based cluster validity index
by: Wiroonsri, Nathakhun
Published: (2021)

A correlation-based fuzzy cluster validity index with secondary options detector
by: Wiroonsri, Nathakhun, et al.
Published: (2023)

4TaStiC: Time and trend traveling time series clustering for classifying long-term type 2 diabetes patients
by: Preedasawakul, Onthada, et al.
Published: (2025)

A Bayesian cluster validity index
by: Wiroonsri, Nathakhun, et al.
Published: (2024)

Concentration inequalities using approximate zero bias couplings with applications to Hoeffding's statistic under the Ewens distribution
by: Wiroonsri, Nathakhun
Published: (2022)

Do elderly want to work? Modeling elderly's decision to fight aging Thailand
by: Kantachote, Krittiya, et al.
Published: (2022)

Normal approximation for fire incident simulation using permanental Cox processes
by: Thongtha, Dawud, et al.
Published: (2022)

On time series clustering with k-means
by: Holder, Christopher, et al.
Published: (2024)

Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data
by: López-Oriona, Ángel, et al.
Published: (2024)

Matching correlated VAR time series
by: Araya, Ernesto, et al.
Published: (2025)

Transfer Neyman-Pearson Algorithm for Outlier Detection
by: Kalan, Mohammadreza M., et al.
Published: (2025)

Distribution-Free Rates in Neyman-Pearson Classification
by: Kalan, Mohammadreza M., et al.
Published: (2024)

On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction
by: Wang, Yanwen, et al.
Published: (2024)

EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile
by: Quan, Vu Hong, et al.
Published: (2024)

Generation of synthetic delay time series for air transport applications
by: Esteve, Pau, et al.
Published: (2026)

LDTC: Lifelong deep temporal clustering for multivariate time series
by: Wang, Zhi, et al.
Published: (2026)

CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios
by: Fuest, Michael, et al.
Published: (2025)

Bounding Neyman-Pearson Region with $f$-Divergences
by: Mullhaupt, Andrew, et al.
Published: (2025)

Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
by: Alcacer, Aleix, et al.
Published: (2025)

Robust fuzzy clustering for high-dimensional multivariate time series with outlier detection
by: Ma, Ziling, et al.
Published: (2025)

Neyman-Pearson Classification under Both Null and Alternative Distributions Shift
by: Kalan, Mohammadreza M., et al.
Published: (2025)

Multivariate time series prediction using clustered echo state network
by: Hariharan, S., et al.
Published: (2025)

Goodness of fit by Neyman-Pearson testing
by: Grosso, Gaia, et al.
Published: (2023)

Missing data imputation for noisy time-series data and applications in healthcare
by: Le, Lien P., et al.
Published: (2024)

Neyman-Pearson Multi-class Classification via Cost-sensitive Learning
by: Tian, Ye, et al.
Published: (2021)

Evaluation of k-means time series clustering based on z-normalization and NP-Free
by: Lee, Ming-Chang, et al.
Published: (2024)

Time series clustering based on the characterisation of segment typologies
by: Guijo-Rubio, David, et al.
Published: (2018)

Neyman-Pearson multiclass classification under label noise via empirical likelihood
by: Zhang, Qiong, et al.
Published: (2026)

A system identification approach to clustering vector autoregressive time series
by: Yue, Zuogong, et al.
Published: (2025)

FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
by: Ma, Ziling, et al.
Published: (2025)

Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis
by: Yokoyama, Hiroshi, et al.
Published: (2024)

Spacecraft inertial parameters estimation using time series clustering and reinforcement learning
by: Platanitis, Konstantinos, et al.
Published: (2024)

A Novel Pearson Correlation-Based Merging Algorithm for Robust Distributed Machine Learning with Heterogeneous Data
by: Rahmat, Mohammad Ghabel, et al.
Published: (2025)

Transformer autoencoder with local attention for sparse and irregular time series with application on risk estimation
by: Rodis, Panteleimon
Published: (2026)

The generalized underlap coefficient with an application in clustering
by: Zhang, Zhaoxi, et al.
Published: (2026)

Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data
by: Neal, Mackenzie R., et al.
Published: (2026)

Preserving clusters and correlations: a dimensionality reduction method for exceptionally high global structure preservation
by: Gildenblat, Jacob, et al.
Published: (2025)

Linear time small coresets for k-mean clustering of segments with applications
by: Denisov, David, et al.
Published: (2025)

Comparative study of clustering models for multivariate time series from connected medical devices
by: Courrier, Violaine, et al.
Published: (2023)

Asymptotically perfect seeded graph matching without edge correlation (and applications to inference)
by: Qi, Tong, et al.
Published: (2025)