Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Clustering large datasets using K-means modified inter and intra clustering (KM-I2C) in Hadoop
Parallel K-Means Clustering Based on MapReduce
Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce
Strategies and algorithms for clustering large datasets: a review
Scaling Clustering Algorithms to Large Databases
Toolkit-Based High-Performance Data Mining of Large Data on MapReduce Clusters
Empirical comparison of fast partitioning-based clustering algorithms for large data sets
Document Clustering Using K-Means, Heuristic K-Means and Fuzzy C-Means
Cure: an efficient clustering algorithm for large databases
Parallel clustering method for non-disjoint partitioning of large-scale data based on spark framework
MapReduce across Distributed Clusters for Data-intensive Applications
Adapting the right measures for K-means clustering
Data Clustering: 50 Years Beyond K-Means
HadoopCL2: Motivating the Design of a Distributed, Heterogeneous Programming System With Machine-Learning Applications
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
Clustering binary data streams with K-means
MapReduce: simplified data processing on large clusters
MARLA: MapReduce for Heterogeneous Clusters
A fast and scalable FPGA-based parallel processing architecture for K-means clustering for big data analysis
Clustering and the continuous k-means algorithm
An efficient k-means clustering algorithm: Analysis and implementation
F1/10: An Open-Source Autonomous Cyber-Physical Platform
MapReduce: simplified data processing on large clusters
Wind Energy: Forecasting Challenges for Its Operational Management
A Subsequence Interleaving Model for Sequential Pattern Mining
Carpal tunnel syndrome following transradial coronary intervention