Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Growing neural gas for temporal clustering
A Growing Neural Gas Network Learns Topologies
Clustering Based on Gaussian Processes
Variational Deep Embedding: A Generative Approach to Clustering.
A real time clustering method using document index graph
Model-based Gaussian and non-Gaussian Clustering
Trajectory clustering via deep representation learning
Incremental clustering for dynamic information processing
Deep Embedding Network for Clustering
Density-based clustering for real-time stream data
Semi-Supervised Clustering with Neural Networks
Fast Nonparametric Clustering of Structured Time-Series
On the optimal partitioning of data with K-means, growing K-means, neural gas, and growing neural gas.
Density-based clustering over an evolving data stream with noise
Learning Neural Models for End-to-End Clustering
Gandiva: introspective cluster scheduling for deep learning
Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams
Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing
Online Clustering of Trajectory Data Stream
General fuzzy min-max neural network for clustering and classification
On clustering graph streams
A Framework for Clustering Evolving Data Streams
On the history of humans as geomorphic agents
An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
The Land-Use Change Analysis System (LUCAS) for Evaluating Landscape Management Decisions
a simplified neuron model as a principal component analyzer .