Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

13.8K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.8K
Vesicular Tubular Clusters01:45

Vesicular Tubular Clusters

2.9K
After budding out from the ER membrane, some COPII vesicles lose their coat and fuse with one another to form larger vesicles and interconnected tubules called vesicular tubular clusters or VTCs. These clusters constitute a compartment at the ER-Golgi interface known as ERGIC (Endoplasmic Reticulum Golgi Intermediate Compartment). The ERGIC is a mobile membrane-bound cargo transport system that sorts proteins secreted from ER and delivers them to the Golgi.
With the help of motor proteins such...
2.9K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

434
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
434
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

6.3K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
6.3K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.0K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
5.0K
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

203
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
203

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Two-dimensional fluorescence in-gel electrophoresis of coronary restenosis tissues in minipigs: increased adipocyte fatty acid binding protein induces reactive oxygen species-mediated growth and migration in smooth muscle cells.

Arteriosclerosis, thrombosis, and vascular biology·2013
Same author

Purification and characterization of mutant miniPlasmin for thrombolytic therapy.

Thrombosis journal·2013
Same author

[Mechanisms of resistance to EML4-ALK inhibitors in non-small cell lung cancer].

Zhongguo fei ai za zhi = Chinese journal of lung cancer·2013
Same author

NK4 gene therapy inhibits HGF/Met-induced growth of human cholangiocarcinoma cells.

Digestive diseases and sciences·2013
Same author

[Low-grade extraskeletal osteosarcoma of mediastinum: report of a case].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2013
Same author

MedTxting: learning based and knowledge rich SMS-style medical text contraction.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2013
Same journal

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

IGFD-Net: Illumination-guided frequency decoupling for polarization image fusion.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Multiple-Strategies dung beetle optimizer and its applications in engineering optimization and bankruptcy prediction.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Aggregating global-scale pixel-wise forgery cues within a graph.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Finite-Time intermittent control for secure synchronization of Neutral-Type stochastic delayed neural networks under aperiodic DoS attacks.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

Related Experiment Video

Updated: Dec 20, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.2K

Multi-view clustering on data with partial instances and clusters.

Linlin Zong1, Xianchao Zhang1, Xinyue Liu1

  • 1Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian School of Software, Dalian University of Technology, Dalian, 116620, China.

Neural Networks : the Official Journal of the International Neural Network Society
|June 1, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel non-negative matrix factorization (NMF) algorithm for multi-view clustering, effectively handling data with both partial instances and clusters. The new method demonstrates superior performance compared to existing approaches on challenging datasets.

Keywords:
Multi-viewNon-negative matrix factorizationPartial data

More Related Videos

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.8K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.8K

Related Experiment Videos

Last Updated: Dec 20, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.2K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.8K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.8K

Area of Science:

  • Machine Learning
  • Data Mining
  • Computer Science

Background:

  • Traditional multi-view clustering assumes complete data and clusters.
  • Recent work addresses partial instances, but not partial clusters.
  • This study tackles the more general problem of partial instances and clusters.

Purpose of the Study:

  • To propose a generalized multi-view clustering algorithm.
  • To address datasets with both missing instances and missing clusters across views.
  • To improve clustering accuracy on complex, incomplete multi-view data.

Main Methods:

  • A non-negative matrix factorization (NMF) based approach is developed.
  • Introduces an instance-view-indicator matrix for partial instances.
  • Introduces a cluster-view-indicator matrix for partial clusters and missing cluster elements.

Main Results:

  • The proposed NMF algorithm effectively handles partial instances and clusters.
  • Experimental results show strong performance on data with both missing instances and clusters.
  • The algorithm outperforms existing methods on datasets with only partial instances.

Conclusions:

  • The developed NMF algorithm provides a robust solution for multi-view clustering with partial data.
  • It offers significant improvements over existing methods, especially for complex datasets.
  • This work advances the field of multi-view clustering by addressing more general data scenarios.