Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: k-means clustering with outlier removal
On Integrated Clustering and Outlier Detection
Clustering with Constraints: Feasibility Issues and the k-Means Algorithm
Algorithms for Mining Distance-Based Outliers in Large Datasets
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises
Chapter 2 Accelerating Lloyd ’ s Algorithm for k-Means Clustering
Document Clustering Using K-Means, Heuristic K-Means and Fuzzy C-Means
Fast K-means for Large Scale Clustering
AN ALTERNATIVE EXTENSION OF THE k-MEANS ALGORITHM FOR CLUSTERING CATEGORICAL DATA
Modified global k-means algorithm for minimum sum-of-squares clustering problems
An unbiased distance-based outlier detection approach for high-dimensional data
A Survey on Outlier Detection Methods
Ckmeans.1d.dp: Optimal k-means Clustering in One Dimension by Dynamic Programming
Efficient algorithms for mining outliers from large data sets
Clustering performance comparison using K-means and expectation maximization algorithms
A comprehensive survey of numeric and symbolic outlier mining techniques
On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study
Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D
Data Clustering: 50 Years Beyond K-Means
Clustering Perturbation Resilient k-Median Instances
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Efficient algorithms for mining outliers from large data sets
Learning Cognitive Models using Neural Networks
Permanent magnet linear generator for renewable energy applications: Tubular vs. four-sided structures
Eye gaze tracking techniques for interactive applications q
Aerobic Copper-Catalyzed Organic Reactions