Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Clustering Stock Market Companies via K- Means Algorithm
Clustering Approach to Stock Market Prediction
Adapting the right measures for K-means clustering
A Study of Various Clustering Algorithms on Retail Sales Data
Bisecting K-Means for Clustering Web Log data
Clustering of financial time series with application to index and enhanced index tracking portfolio
Data Clustering : Algorithms and Applications
An Improved K-Means Clustering Algorithm
Data Clustering: 50 Years Beyond K-Means
Time Series Clustering Based on ICA for Stock Data Analysis
Clustering of datasets using PSO-K-Means and PCA-K-means
k2-means for fast and accurate large scale clustering
Ckmeans.1d.dp: Optimal k-means Clustering in One Dimension by Dynamic Programming
Alternatives to the k-means algorithm that find better clusterings
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
A hybrid clustering technique combining a novel genetic algorithm with K-Means
The MinMax k-Means clustering algorithm
Technical Perspective: k-Shape: Efficient and Accurate Clustering of Time Series
A Comprehensive Overview of Basic Clustering Algorithms
K-means clustering: A half-century synthesis
K-modes Clustering Algorithm for Categorical Data
Rheoencephalography (REG) as a Non-Invasive Monitoring Alternative for the Assessment of Brain Blood Flow
Classification of Three Types of Walking Activities Regarding Stairs Using Plantar Pressure Sensors
Optimized Day-Ahead Pricing for Smart Grids with Device-Specific Scheduling Flexibility
chameleon : hierarchical clustering using dynamic modeling .
Performance of H.F. mirror inverter with different semiconductor switches for induction heating