Cover Image

CAS Condensed and Accelerated Silhouette: An Efficient Method for Determining the Optimal K in K-Means Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Das, Krishnendu, Gupta, Sumit, Kumar, Awadhesh
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

Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient
by: Dinh, Duy-Tai, et al.
Published: (2025)

Causal K-Means Clustering
by: Kim, Kwangho, et al.
Published: (2024)

Distributionally Robust K-Means Clustering
by: Malik, Vikrant, et al.
Published: (2026)

Fuzzy K-Means Clustering without Cluster Centroids
by: Bao, Yichen, et al.
Published: (2024)

Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation
by: Gupta, Ravi Kant, et al.
Published: (2025)

Kempe Swap K-Means: A Scalable Near-Optimal Solution for Semi-Supervised Clustering
by: Ren, Yuxuan, et al.
Published: (2026)

Consistency and Inconsistency in $K$-Means Clustering
by: Blanchard, Moïse, et al.
Published: (2025)

Imbalanced Data Clustering using Equilibrium K-Means
by: He, Yudong
Published: (2024)

Privacy-Preserving Vertical K-Means Clustering
by: Mazzone, Federico, et al.
Published: (2025)

On the Optimal Number of Grids for Differentially Private Non-Interactive $K$-Means Clustering
by: Muthukrishnan, Gokularam, et al.
Published: (2026)

Learning-Augmented K-Means Clustering Using Dimensional Reduction
by: Jabari, Issam K. O, et al.
Published: (2024)

K-Means Clustering With Incomplete Data with the Use of Mahalanobis Distances
by: Armah, Lovis Kwasi, et al.
Published: (2024)

Breathing K-Means: Superior K-Means Solutions through Dynamic K-Values
by: Fritzke, Bernd
Published: (2020)

Hyperbolic Fuzzy C-Means with Adaptive Weight-based Filtering for Efficient Clustering
by: Das, Swagato, et al.
Published: (2025)

CTG-KrEW: Generating Synthetic Structured Contextually Correlated Content by Conditional Tabular GAN with K-Means Clustering and Efficient Word Embedding
by: Samanta, Riya, et al.
Published: (2024)

Anomaly Detection and Improvement of Clusters using Enhanced K-Means Algorithm
by: Shorewala, Vardhan, et al.
Published: (2025)

K*-Means: A Parameter-free Clustering Algorithm
by: Mahon, Louis, et al.
Published: (2025)

Comparative Analysis of Hash-based Malware Clustering via K-Means
by: Thein, Aink Acrie Soe, et al.
Published: (2025)

Revisiting Silhouette Aggregation
by: Pavlopoulos, John, et al.
Published: (2024)

Parallelization of the K-Means Algorithm with Applications to Big Data Clustering
by: Srivastava, Ashish, et al.
Published: (2024)

Accelerating k-Means Clustering with Cover Trees
by: Lang, Andreas, et al.
Published: (2024)

Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters
by: Vardakas, Georgios, et al.
Published: (2024)

Silhouette-Driven Instance-Weighted $k$-means
by: Semoglou, Aggelos, et al.
Published: (2025)

Composite Silhouette: A Subsampling-based Aggregation Strategy
by: Semoglou, Aggelos, et al.
Published: (2026)

Log-Time K-Means Clustering for 1D Data: Novel Approaches with Proof and Implementation
by: Hyun, Jake
Published: (2024)

Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clustering
by: Yan, Yubing, et al.
Published: (2024)

Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
by: Zhuang, Yubo, et al.
Published: (2023)

Silhouettes and quasi residual plots for neural nets and tree-based classifiers
by: Raymaekers, Jakob, et al.
Published: (2021)

Adaptively Robust and Sparse K-means Clustering
by: Li, Hao, et al.
Published: (2024)

Federated K-means Clustering
by: Garst, Swier, et al.
Published: (2023)

A K-Means, Ward and DBSCAN repeatability study
by: Bertrand, Anthony, et al.
Published: (2025)

Granular-Ball-Induced Multiple Kernel K-Means
by: Xia, Shuyin, et al.
Published: (2025)

KLLM: Fast LLM Inference with K-Means Quantization
by: Wu, Xueying, et al.
Published: (2025)

Hierarchical Multiple Kernel K-Means Algorithm Based on Sparse Connectivity
by: Wang, Lei, et al.
Published: (2024)

Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation
by: Chen, Tianyi, et al.
Published: (2024)

K-Models: a Flexible and Interpretable Method for Ordinal Clustering with Application to Antigen-Antibody Interaction Profiles
by: Patanè, Giulia, et al.
Published: (2026)

Dirichlet Process-based Robust Clustering using the Median-of-Means Estimator
by: Basu, Supratik, et al.
Published: (2023)

K-Tensors: Clustering Positive Semi-Definite Matrices
by: Zhang, Hanchao, et al.
Published: (2023)

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multi-Objective Optimization Approach
by: Gupta, Avisek, et al.
Published: (2018)

Enhancing Kernel Power K-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method
by: Chen, Yixi, et al.
Published: (2025)