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08/22/2023
Patient Clustering via Integrated Profiling of Clinical and Digital Data
We introduce a novel profile-based patient clustering model designed for...
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03/02/2022
Skew-Symmetric Adjacency Matrices for Clustering Directed Graphs
Cut-based directed graph (digraph) clustering often focuses on finding d...
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10/08/2020
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
Existing tensor factorization methods assume that the input tensor follo...
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07/12/2020
An Alternating Rank-K Nonnegative Least Squares Framework (ARkNLS) for Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) is a prominent technique for data...
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06/29/2020
Hypergraph Random Walks, Laplacians, and Clustering
We propose a flexible framework for clustering hypergraph-structured dat...
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11/13/2019
TASTE: Temporal and Static Tensor Factorization for Phenotyping Electronic Health Records
Phenotyping electronic health records (EHR) focuses on defining meaningf...
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08/30/2019
PLANC: Parallel Low Rank Approximation with Non-negativity Constraints
We consider the problem of low-rank approximation of massive dense non-n...
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07/28/2019
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
Topic modeling is commonly used to analyze and understand large document...
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04/06/2018
Understanding Actors and Evaluating Personae with Gaussian Embeddings
Understanding narrative content has become an increasingly popular topic...
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04/06/2018
Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters
Understanding of narrative content has become an increasingly popular to...
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03/14/2018
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
This paper presents a new method, which we call SUSTain, that extends re...
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03/28/2017
Hybrid Clustering based on Content and Connection Structure using Joint Nonnegative Matrix Factorization
We present a hybrid method for latent information discovery on the data ...
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01/05/2017
Outlier Detection for Text Data : An Extended Version
The problem of outlier detection is extremely challenging in many domain...
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09/28/2016
MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization
Non-negative matrix factorization (NMF) is the problem of determining tw...
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09/14/2013
Hierarchical Clustering of Hyperspectral Images using Rank-Two Nonnegative Matrix Factorization
In this paper, we design a hierarchical clustering algorithm for high-re...
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10/03/2012
