Results 111 to 120 of about 1,246,571 (292)

A Feature-Reduction Multi-View k-Means Clustering Algorithm

IEEE Access, 2019
The k-means clustering algorithm is the oldest and most known method in cluster analysis. It has been widely studied with various extensions and applied in a variety of substantive areas.
Miin-Shen Yang, Kristina P. Sinaga
doaj   +1 more source

A yeast model of 5‐oxoproline accumulation reveals a general toleration to 5‐oxoproline

FEBS Open Bio, EarlyView.
Using a yeast model, we show that even high accumulation of 5‐oxoproline causes only mild cellular stress and does not trigger oxidative stress. Instead, cells adapt by activating efflux pumps and diverse protective pathways, suggesting that previously proposed harmful effects of 5‐oxoproline may arise from indirect metabolic imbalances rather than the
Pratiksha Dubey, Vaishnavi Sanjayan, Praveen Singh, Shantanu Sengupta, Anand Kumar Bachhawat   +4 more
wiley   +1 more source

FINGER KNUCKLE PRINT RECOGNITION WITH SIFT AND K-MEANS ALGORITHM [PDF]

ICTACT Journal on Image and Video Processing, 2013
In general, the identification and verification are done by passwords, pin number, etc., which is easily cracked by others. Biometrics is a powerful and unique tool based on the anatomical and behavioral characteristics of the human beings in order to ...
A. Muthukumar, S. Kannan
doaj  

Self-Weighted Multi-View k-means Algorithm [PDF]

Jisuanji gongcheng
With advancements in information technology, people can use increasingly diversified and complex ways to describe things more accurately, which has led to the emergence of multi-view data. Clustering multi-view data is a fundamental topic in data mining,
LIN Hechuan, XU Huiying, ZHU Xinzhong, HUANG Xiao, LIU Ziyang
doaj   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Finding Optimal Number of Clusters Using Heuristic Clustering Algorithms

Ibn Al-Haitham Journal for Pure and Applied Sciences
     The problem of estimating the number of clusters k is considered one of the major challenges for partition clustering. The k-means algorithm is a division-based clustering method where only objects are entered into a set of K, and the algorithm ...
Hanin Haqi, Tareef Kamil Mustafa
doaj   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

FEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard, Emma‐Jayne Proctor, Jiawa Wang, Nikolas P. Johnston, Andrew Hayes, Georgia McCorkell, Haibo Yu, Jai Tree, Mark R. Davies, Mark J. Walker, Ronald Sluyter, Stephan Brouwer, Martina L. Sanderson‐Smith   +12 more
wiley   +1 more source

Transcripts enriched in codons that trigger P‐site tRNA‐mediated mRNA decay possess stable mRNA

FEBS Open Bio, EarlyView.
PTMD codons were first described by Mendel et al. as mediators of an mRNA decay pathway dependent on the human protein CNOT3, homologous to yeast Not5. Our findings confirm that PTMD codons destabilize transcripts; however, unlike in yeast, the human pathway specifically targets and slightly destabilizes primarily stable mRNAs.
Rodolfo Lopes Carneiro, Fernando Lucas Palhano   +1 more
wiley   +1 more source

Retracted: Blockchain and K-Means Algorithm for Edge AI Computing. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source