Why do we use K-means clustering (unsupervised) in color based segmentation?

How to evaluate unsupervised clustering metrics when some elements do not have a cluster label in the result?

I run algorithms like HDBSCAN and MeanShift, and compare them with K-means and GaussianMixture. The first two algorithms do not return cluster labels for some elements in the dataset. My question...

27 February 2021 428 3 View

Alternative to mediation analysis?

I am currently working on my dissertation and want to explore the role of competence as a mediator between the effect of colour of clothes on voting intention (focus on Western countries)....

21 February 2021 8,609 1 View

Color of spiro-ometad film?

What does the color of a spiro-ometad film indicate? I got purple, green, red, even black color of the spiro film. Is there anything we can get from the preliminary color analysis(e.g. oxidation...

21 February 2021 1,831 4 View

How to validate image labeling quality within dataset?

Hello, it is about creating a dataset for semantic segmentation with three classes. The problem is that one class dominates with >90% and one class is

18 February 2021 4,254 5 View

Any information about dinitrosalisylic acid reagent end point color stability ?

I work on estimation of alpha amylase activity using dinitrosalisylic acid reagent If i put the reagent to stope the enzymatic reaction and allow the reagent to react with the produced reducing...

17 February 2021 7,402 4 View

Negative result on natural product sample cholinergic assay?

i have been doing cholinergic assay on natural product and for some of the samples, i get negative value for the inhibition activity. can anyone help me explain the meaning of the negative value...

17 February 2021 4,118 1 View

Has anyone performed a colorimetric RT-LAMP assay using Lucigens LavaLAMP kit?

Hi there, my lab recently opted to use LavaLAMP from Lucigen instead of the Warmstart kit from NEB. However, Lucigen has yet to create a colormetric kit for RT-LAMP, and adding phenol-Red (pH...

17 February 2021 5,399 1 View

Using 1D CNN for pixel classification in an image?

I have a 3D Image of size 100x100x100. I have features (feature dimension 25) extracted for each pixel by considering a small pacth around it. So the input to 1D CNN is 100x100x100x25 reshaped to...

17 February 2021 941 4 View

What is the actual chemistry going on between iodate and ascorbic acid?

I am studying biochemistry at university, as part of the course we do several titration experiments. In our handouts, we were given the following half equations: IO3- + 6H+ + 4e- I+ +...

16 February 2021 8,731 1 View

Does anyone have a stack of images of action potentials or abnormal brain scans?

I need a stack of black and white .jpeg/.tiff/.jpg/.png images across time of either action potentials, neurons firing, or brain scans (comparing disease and normal brain, disease progression,...

09 February 2021 2,648 3 View

Samer Sarsam

Hi,

There is no particular reason behind that. K-means is a very popular approach, this leads many scholars to apply it blindly. You could try other cluster methods especially those that are based density such as EM.

HTH.

Samer, PhD.

Rahul Dixit

Thanks

Vivek Kumar Verma

A number of alternative clustering algorithms exist including DBScan, spectral clustering, and modeling with Gaussian mixtures.

A dimensionality reduction technique, such as principal component analysis, can be used for efficient segmentation.