Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cluster Sampling Method

Cluster Sampling Method

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...

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

Vesicular Tubular Clusters

Vesicular Tubular Clusters

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...

You might also read

Related Articles

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

Sort by

Same author

Therapeutic Effects of Combined Treatment with the AEA Hydrolysis Inhibitor PF04457845 and the Substrate Selective COX-2 Inhibitor LM4131 in the Mouse Model of Neuropathic Pain.

Cells·2023

Same author

Effects of different pelvic osteotomies on acetabular morphology in developmental dysplasia of hip in children.

World journal of orthopedics·2023

Same author

Disheveled3 enhanced EMT and cancer stem-like cells properties via Wnt/β-catenin/c-Myc/SOX2 pathway in colorectal cancer.

Journal of translational medicine·2023

Same author

Construction of Curcumin and Paclitaxel Co-Loaded Lipid Nano Platform and Evaluation of Its Anti-Hepatoma Activity in vitro and Pharmacokinetics in vivo.

International journal of nanomedicine·2023

Same author

Identification of an EMT-related gene-based prognostic signature in osteosarcoma.

Cancer medicine·2023

Same author

Community composition and abundance of complete ammonia oxidation (comammox) bacteria in the Lancang River cascade reservoir.

Ecotoxicology and environmental safety·2023

Same journal

CLASH-CTTA: Class-Wise Shift-Aware Hierarchical Continual Test-Time Adaptation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Voxel-based Point Cloud Geometry Compression with Space-to-Channel Context.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

RIGI: Rectifying Image-to-3D Generation Inconsistency via Uncertainty-Aware Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

DA-Cal: Towards Cross-Domain Calibration in Semantic Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Multi-Dimensional Quality Assessment for Single-Image-to-3D Contents: Dataset and Model.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Enhancing Underwater Light Field Images via Global Geometry-Aware Diffusion Process.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 24, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Deep Multi-View Clustering via Cluster-Semantic Guidance.

Jinrong Cui, Xiaohuang Wu, Wai Keung Wong

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|April 22, 2026

Summary

This summary is machine-generated.

This study introduces a novel deep multi-view clustering method using cluster-semantic guidance. The approach enhances feature discriminability and clustering performance by improving inter-cluster separability and integrating semantic information.

More Related Videos

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

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

Published on: February 15, 2017

Related Experiment Videos

Last Updated: Apr 24, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

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

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

Published on: February 15, 2017

Area of Science:

Artificial Intelligence
Machine Learning
Data Mining

Background:

Deep multi-view clustering leverages heterogeneous data for relationship discovery.
Existing models struggle with inter-cluster separability and semantic integration, limiting performance.

Purpose of the Study:

To propose a novel deep multi-view clustering method using cluster-semantic guidance.
To enhance feature discriminability and clustering performance by addressing limitations of current models.

Main Methods:

Separating clusters to improve inter-cluster discriminability.
Employing knowledge distillation for cluster stability and representation learning.
Aggregating sample-level semantic information for a cluster-oriented learning strategy.

Main Results:

The method learns discriminative and clustering-friendly representations.
It strengthens sample representation capability through a cluster-oriented perspective.
Experiments show superior clustering performance on various datasets.

Conclusions:

The proposed method effectively enhances deep multi-view clustering.
It achieves state-of-the-art performance by learning distinctive feature embeddings.