Cover Image

SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Naser, MZ, Naser, Ahmed
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection
by: Naser, MZ, et al.
Published: (2024)

SPINEX-TimeSeries: Similarity-based Predictions with Explainable Neighbors Exploration for Time Series and Forecasting Problems
by: Naser, Ahmed Z, et al.
Published: (2024)

SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
by: Naser, MZ, et al.
Published: (2024)

SPINEX-Optimization: Similarity-based Predictions with Explainable Neighbors Exploration for Single, Multiple, and Many Objectives Optimization
by: Naser, MZ, et al.
Published: (2024)

SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning
by: Naser, M. Z., et al.
Published: (2023)

A Look into How Machine Learning is Reshaping Engineering Models: the Rise of Analysis Paralysis, Optimal yet Infeasible Solutions, and the Inevitable Rashomon Paradox
by: Naser, MZ
Published: (2025)

Philosophy-informed Machine Learning
by: Naser, MZ
Published: (2025)

How LLMs Cite and Why It Matters: A Cross-Model Audit of Reference Fabrication in AI-Assisted Academic Writing and Methods to Detect Phantom Citations
by: Naser, MZ
Published: (2026)

Cross-Paradigm Knowledge Distillation: A Comprehensive Study of Bidirectional Transfer Between Random Forests and Deep Neural Networks for Big Data Applications
by: Moghadasi, Mahdi Naser
Published: (2026)

The Engineer's Dilemma: A Review of Establishing a Legal Framework for Integrating Machine Learning in Construction by Navigating Precedents and Industry Expectations
by: Naser, M. Z.
Published: (2025)

Dual-Center Graph Clustering with Neighbor Distribution
by: Cheng, Enhao, et al.
Published: (2025)

Explainable Evidential Clustering
by: de Souza, Victor F. Lopes, et al.
Published: (2025)

M-SGWR: Multiscale Similarity and Geographically Weighted Regression
by: Lessani, M. Naser, et al.
Published: (2026)

Clustering, Coding, and the Concept of Similarity
by: McCarty, L. Thorne
Published: (2014)

Agentic Cost-Aware Query Planning with Knowledge Distillation for Big Data Analytics
by: Naser-Moghadasi, Mahdi
Published: (2026)

UMAP Is Spectral Clustering on the Fuzzy Nearest-Neighbor Graph
by: Yang, Yang
Published: (2026)

Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures
by: Khodabandeh, Ghazal, et al.
Published: (2025)

Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
by: Shi, Rui, et al.
Published: (2025)

Correlation Clustering with Active Learning of Pairwise Similarities
by: Aronsson, Linus, et al.
Published: (2023)

Shift of Pairwise Similarities for Data Clustering
by: Chehreghani, Morteza Haghir
Published: (2021)

Explainable Clustering Beyond Worst-Case Guarantees
by: Fleissner, Maximilian, et al.
Published: (2024)

Neighboring State-based Exploration for Reinforcement Learning
by: Li, Yu-Teng, et al.
Published: (2022)

Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping
by: Yuan, Jinghui, et al.
Published: (2024)

Towards Explainable Clustering: A Constrained Declarative based Approach
by: Guilbert, Mathieu, et al.
Published: (2024)

Deep Clustering with Self-Supervision using Pairwise Similarities
by: Sadeghi, Mohammadreza, et al.
Published: (2024)

EmbedOR: Provable Cluster-Preserving Visualizations with Curvature-Based Stochastic Neighbor Embeddings
by: Saidi, Tristan Luca, et al.
Published: (2025)

One Size Does Not Fit All: Architecture-Aware Adaptive Batch Scheduling with DEBA
by: Belias, François, et al.
Published: (2025)

Contrastive Explainable Clustering with Differential Privacy
by: Nguyen, Dung, et al.
Published: (2024)

Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models
by: Moghadasi, Mahdi Naser, et al.
Published: (2026)

Random Models for Fuzzy Clustering Similarity Measures
by: DeWolfe, Ryan, et al.
Published: (2023)

Towards Explainable Deep Clustering for Time Series Data
by: Schlegel, Udo, et al.
Published: (2025)

metasnf: Meta Clustering with Similarity Network Fusion in R
by: Velayudhan, Prashanth S, et al.
Published: (2024)

Reliable Node Similarity Matrix Guided Contrastive Graph Clustering
by: Liu, Yunhui, et al.
Published: (2024)

Rough Sets for Explainability of Spectral Graph Clustering
by: Starosta, Bartłomiej, et al.
Published: (2025)

Similarity-based Neighbor Selection for Graph LLMs
by: Li, Rui, et al.
Published: (2024)

Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
by: Zheng, Xiaochen, et al.
Published: (2024)

Neural Activation Patterns Across Language Model Architectures: A Comprehensive Analysis of Cognitive Task Performance
by: Naser-Moghadasi, Mahdi, et al.
Published: (2026)

Unifying Information-Theoretic and Pair-Counting Clustering Similarity
by: Gates, Alexander J.
Published: (2025)

ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
by: Wang, Xinyue, et al.
Published: (2025)

Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations
by: Wagner, Stefan Sylvius, et al.
Published: (2024)