Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation
Bayesian regularization for normal mixture estimation and model-based clustering
Adaptive mixture density estimation
Recursive unsupervised learning of finite mixture models
tclust: An R Package for a Trimming Approach to Cluster Analysis
Cluster: An unsupervised algorithm for modeling Gaussian mixtures
Bayesian Density Estimation and Inference Using Mixtures
Hierarchical Latent Class Models for Cluster Analysis
Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection
A Split-Merge Markov Chain Monte Carlo Procedure for the Dirichlet Process Mixture Model
Density-Based Clustering Based on Hierarchical Density Estimates
How many clusters? Which clustering method? Answers via model-based cluster analysis
fastcluster: Fast Hierarchical, Agglomerative Clustering Routines for R and Python
Pvclust: an R package for assessing the uncertainty in hierarchical clustering
Probabilistic Model-Based Clustering of Multivariate and Sequential Data
A non-parametric method to estimate the number of clusters
Dirichlet Process Mixture Model for Document Clustering with Feature Partition
DENCLUE 2 . 0 : Fast Clustering based on Kernel Density Estimation
dynamic non - parametric mixture models and the recurrent chinese restaurant process : with applications to evolutionary clustering .
Composing tree graphical models with persistent homology features for clustering mixed-type data
Clustering Images with Multinomial Mixture Models
Some methods for classification and analysis of multivariate observations
Retrieving Lexical Semantics from Multilingual Corpora
Ivy Bridge Server: A Converged Design
Batteryless Accelerometer Using Power Feeding System of RFID
A simple new technique for neo-umbilicoplasty