Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Space Structure and Clustering of Categorical Data
cactus - clustering categorical data using summaries .
Why so many clustering algorithms: a position paper
Hierarchical Latent Class Models for Cluster Analysis
the " best k " for entropy - based categorical data clustering .
Data clustering: a review
Author Clustering using Hierarchical Clustering Analysis
Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number
On detecting spatial categorical outliers
Composing tree graphical models with persistent homology features for clustering mixed-type data
Clustering Data of Mixed Categorical and Numerical Type With Unsupervised Feature Learning
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework
Finding Groups in Data: An Introduction to Cluster Analysis.
A Novel Three-Way Clustering Algorithm for Mixed-Type Data
Bayesian hierarchical clustering
An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data
Maximum margin Dirichlet process mixtures for clustering
Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes
k-ANMI : A mutual information based clustering algorithm for categorical data
Strategies and algorithms for clustering large datasets: a review
Hierarchical clustering schemes.
dcworms - a tool for simulation of energy efficiency in distributed computing infrastructures .
Algorithms for clustering data
A power-efficient multi-channel PPG ASIC with 112dB receiver DR for pulse oximetry and NIRS
Parametric and Non-parametric User-aware Sentiment Topic Models
Water quality monitoring with internet of things (IoT)