The only 7 types of people in ASR: Clustering Analysis

[Noske]

"The main objective of this analysis..."

This is not analysis, which requires superior cogitative skills and the intelligence to interpret and perhaps question the data in a meaningful manner.

This is just plain vanilla data mining.

 

[Sgt. Ear Ache]

surprised that I hit any of the top tens. I don't really think I post all that much generally.

 

[JayGilb]

Other than Cluster 9, who are these people. ? I recognize a few, but most I have never seen post.

 

[solderdude]

Weird.... I am not represented in cluster 2 (headphones) but seem to have made the most comments in cluster 9 (DAC and DAP focus or to “Home Music Servers, Computers and Streamers”) for which I have little interest, well... maybe with the exception of DACs.

Even though I 'only' have 14k posts I seem to have made 28k posts in cluster 9 ?

I am probably not getting what the data actually represents or something is fishy.

 

[Curvature]

Given my (ahem) embarrassingly high post count, I was both surprised and pleased not to see myself in the top ten of any of the Seven Clusters.

If there was a vintage cluster you'd at the top with @restorer-john.

 

[Noske]

While I understand that data mining is a tool favored by folk in the business of marketing their wares, a number of things are apparent from comments.

Get your data correct, how hard is that? Be scientific about any conclusions that you may draw.

An editorial comment - reminds me all a bit of phrenology, where in the 19th century people were often classified and characterized according to the shape of their skull and any bumps on it.

 

[mhardy6647]

"The main objective of this analysis..."

This is not analysis, which requires superior cogitative skills and the intelligence to interpret and perhaps question the data in a meaningful manner.

This is just plain vanilla data mining.

I used to use the phrase

Spoiler

masturbating with data

at work.

If there was a vintage cluster you'd [be] at the top with @restorer-john.

Also -- @fpitas and I could anchor a horn cluster.

 

[pseudoid]

Is there a way to see how I score within each cluster?

I can't believe you dare to ask: I was taught never to ask that question; morning-after!
But the above does not mean that ~99% did not have the same thought as you (and I).

 

[phoenixdogfan]

Might be interesting if each individual member could see the distribution of his own posts, and where he ranks numerically as a poster in each of those clusters. Also a good way to check the accuracy and therefore the validity of your data collection methodology.

 

[PierreV]

Really cool analysis! How come I'm in cluster 9 with 20k+ comments? I only have 7k+ messages in total?

That tells you all you need to know about budding, incompetent data analysts.

 

[mhardy6647]

That tells you all you need to know about budding, incompetent data analysts.

Negative post space.

 

[pseudoid]

In @mppix's recent thread - "What is "good enough", the categorization of ASR lurkers are divided into 5 basic 'categories':
*Scientist
*Psychologist
*Pragmatic
*Enlightened
*Others
It'd be interesting if some quant would be able to cross-correlate with this database.

 

[raif71]

Weird.... I am not represented in cluster 2 (headphones) but seem to have made the most comments in cluster 9 (DAC and DAP focus or to “Home Music Servers, Computers and Streamers”) for which I have little interest, well... maybe with the exception of DACs.

Even though I 'only' have 14k posts I seem to have made 28k posts in cluster 9 ?

I am probably not getting what the data actually represents or something is fishy.

 

[phoenixdogfan]

Weird.... I am not represented in cluster 2 (headphones) but seem to have made the most comments in cluster 9 (DAC and DAP focus or to “Home Music Servers, Computers and Streamers”) for which I have little interest, well... maybe with the exception of DACs.

Even though I 'only' have 14k posts I seem to have made 28k posts in cluster 9 ?

I am probably not getting what the data actually represents or something is fishy.

Beginning to look like the A.I. data mining program can't count. Maybe this thread should be pulled for being grotesquely inaccurate?

 

[mhardy6647]

In @mppix's recent thread - "What is "good enough", the categorization of ASR lurkers are divided into 5 basic 'categories':
*Scientist
*Psychologist
*Pragmatic
*Enlightened
*Others
It'd be interesting if some quant would be able to cross-correlate with this database.

There's some cross-talk between those categories, you know?
I am a left-handed analytical biochemist. I am pretty far out there in the tail of pretty much any distribution one can envision.

Maybe this thread should be pulled for being grotesquely inaccurate?

Oh, I think it should stand as a monument to folly.
The best laid schemes o' mice an' men
Gang aft a-gley.

 

[pseudoid]

Maybe this thread should be pulled for being grotesquely inaccurate?

I would have never learned that there was an underwater photo-shoot of Zuckerberg Data.

 

[Noske]

The cluster Amir belongs to: 8. So, Amir does not belong to either of the described above groups.

There is no defined cluster 8. Amir perhaps does not belong on this forum.

Oh, hang on. Wait a moment while I recalibrate my understanding of principal components analysis.

 

[Chrispy]

Might want to share your data collection method and results before and after sorting?

 

[Beave]

I used to use the phrase

Spoiler

masturbating with data

at work.




Also -- @fpitas and I could anchor a horn cluster.

Affectionately known as Big Bertha - and replaced a few years ago by a set of line arrays.

 

[Noske]

Might want to share your data collection method and results before and after sorting?

AI says no.