I'm just wondering why my article has gained no interest or popularity ?

[Jon McKee]

The primary subject is still "Optimal K-Means Clustering Algorithm" which before I clicked and read a bit of your article because of this post, I had zero idea what on Earth that even was. If I was busy and skimming for articles to read later from the front page I would probably pass to be honest. I think if you somehow hint in the title it relates to AI you'd get way more interest. Edit: Of course I don't really do AI stuff, so maybe that's a common algorithm? This is all just my perspective as an AI noob ;P

[Arthur V Ratz]

Quote:

I think if you somehow hint in the title it relates to AI you'd get way more interest.

I'm just working on it. Specifically, K-Means clustering is a very popular AI Machine Learning algorithm, I've already discussed in my previous articles years ago. Anyway, I'll try to change the title to something AI and machine learning related. :)

[Amarnath S]

If you are concerned about votes, perhaps it will take some more time.

[Jon McKee]

It's a really good article from the parts I understand :thumbsup: I didn't notice it mentioned but what's the Big-Oh performance of the sub-optimal k-means clustering algorithm? O(k)?

[honey the codewitch]

You're saying my binding spell worked, then. That's not against the rules. I read them.

Real programmers use butterflies

[Arthur V Ratz]

Quote:

I didn't notice it mentioned but what's the Big-Oh performance of the sub-optimal k-means clustering algorithm? O(k)? Quote Selected Text

The complexity of the sub-optimal (!) k-means algorithm is typically very high (e.g. it's NP-hard). That's actually why I've used the number of algorithm optimizations such as k-means++ initialization algorithm, thoroughly discussed in this article, as well as the ability of the initialization process to produce the number of initial clusters prior to performing the actual clustering, and that really helps to reduce the computational complexity of the k-means algorithm.

[Arthur V Ratz]

Finally, I've re-composed the article's title: "

Quote:

How To Implement The AI Supervised Learning K-Means Clustering Algorithm And Use It For Solving Data Classification Problems"

So, what's about this one?

[Jon McKee]

Definitely peaks my interest more :thumbsup: CodeProject is gonna cut off the title on listings somewhere around the middle but all the important keywords are in the first half anyways.

[Arthur V Ratz]

Thanks for your reply. The number of votes normally indicates an article's popularity. :)

[Jon McKee]

Definitely peaks my interest more :thumbsup: CodeProject is gonna cut off the title on listings somewhere around the middle but all the important keywords are in the first half anyways.

[Arthur V Ratz]

Yes of course. I'll compact the beginning of the article's title right now.

[Jon McKee]

Actually I realized you'd have to change "Use" to "Using" if you did that which doesn't really save much space. English - ain't it fun? Could just use "Implement" though in the imperative sense.

[Arthur V Ratz]

Finally, I've corrected the title :)

[Arthur V Ratz]

Excuse me, but if I don't understand which word I should use in the imperative sense "Implement" or "Use", or both?? :)

[Jon McKee]

Implement and Use, yea. Haha. I swear I'm a native speaker and it's just really late! :laugh:

[Arthur V Ratz]

Here's a couple of variants of the same title: Implement The AI Supervised Learning K-Means Clustering Algorithm And Use It For Solving Data Classification Problems Implementing the AI Supervised Learning K-Means Clustering Algorithm and Be Using It for Solving Data Classification Problems Which one seems to you the most correct?

[Jon McKee]

The first one. The second one works too without the "Be" but it's longer :thumbsup:

[Arthur V Ratz]

Thanks for the guidance. :)

[Jon McKee]

No problem. It's a good article! Thanks for the contribution :)

[Arthur V Ratz]

You're very welcome. :)