Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Improving K-means through better initialization and normalization
Refining Initial Points for K-Means Clustering
Clustering and the continuous k-means algorithm
Ckmeans.1d.dp: Optimal k-means Clustering in One Dimension by Dynamic Programming
Parallel K-Means Clustering with Triangle Inequality
Bootstrapping K-means for big data analysis
The analysis of a simple k-means clustering algorithm
Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D
A simple linear time (1 + /spl epsiv/)-approximation algorithm for k-means clustering in any dimensions
A simple and fast algorithm for K-medoids clustering
Alternatives to the k-means algorithm that find better clusterings
Spectral Relaxation for K means Clustering
On the optimal partitioning of data with K-means, growing K-means, neural gas, and growing neural gas.
Local Search Methods for k-Means with Outliers
Modified global k-means algorithm for minimum sum-of-squares clustering problems
Otsu Method and K-means
Comparison Between K-Mean and Hierarchical Algorithm Using Query Redirection
Comparative analysis of K-Means with other clustering algorithms to improve search result
Fast K-means for Large Scale Clustering
Dynamic Incremental K-means Clustering
Efficient online spherical k-means clustering
the role of abscisic acid in root growth and gravireaction : a critical review .
Master-client R-trees: a new parallel R-tree architecture
Finding Groups in Data: An Introduction to Cluster Analysis.
Ankle sprains and instability.
MultiFab: a machine vision assisted platform for multi-material 3D printing