Will the features in the image (edge, color, etc.. ) impacts on the performance of the spherical k-means?2019 Community Moderator ElectionConstrained k-means algorithms in R (must-link constraints)Need help with how to diagnose training and validation metricscalculate distance between each data point of a cluster to their respective cluster centroidsIs deduction, genetic programming, PCA, or clustering machine learning according to Tom Mitchells definition?How to implement one vs rest classifier in a multiclass classification problem?Are there cases where tree based algorithms can do better than neural networks?How standardizing and/or log transformation affect prediction result in machine learning modelsGetting negative r2_score with new set of dimensionsBest way to implement drone detection?k modes: optimal k
If human space travel is limited by the G force vulnerability, is there a way to counter G forces?
Why do I get two different answers for this counting problem?
Why does Kotter return in Welcome Back Kotter
Infinite Abelian subgroup of infinite non Abelian group example
Will google still index a page if I use a $_SESSION variable?
How can I make my BBEG immortal short of making them a Lich or Vampire?
How to show the equivalence between the regularized regression and their constraint formulas using KKT
Did Shadowfax go to Valinor?
How do conventional missiles fly?
Should I tell management that I intend to leave due to bad software development practices?
Assassin's bullet with mercury
Is it canonical bit space?
A reference to a well-known characterization of scattered compact spaces
What's the difference between 'rename' and 'mv'?
In a Spin are Both Wings Stalled?
Is it legal for company to use my work email to pretend I still work there?
Took a trip to a parallel universe, need help deciphering
Emailing HOD to enhance faculty application
How to say in German "enjoying home comforts"
What do you call someone who asks many questions?
Why is it a bad idea to hire a hitman to eliminate most corrupt politicians?
Would Slavery Reparations be considered Bills of Attainder and hence Illegal?
In Romance of the Three Kingdoms why do people still use bamboo sticks when papers are already invented?
Watching something be written to a file live with tail
Will the features in the image (edge, color, etc.. ) impacts on the performance of the spherical k-means?
2019 Community Moderator ElectionConstrained k-means algorithms in R (must-link constraints)Need help with how to diagnose training and validation metricscalculate distance between each data point of a cluster to their respective cluster centroidsIs deduction, genetic programming, PCA, or clustering machine learning according to Tom Mitchells definition?How to implement one vs rest classifier in a multiclass classification problem?Are there cases where tree based algorithms can do better than neural networks?How standardizing and/or log transformation affect prediction result in machine learning modelsGetting negative r2_score with new set of dimensionsBest way to implement drone detection?k modes: optimal k
$begingroup$
I am very new in Machine learning, I recently implemented the spherical k-means, but finally I found a interesting point from the result. I used four datasets, they are minst, cifar-10, fashion-minst, and svhn. I was following the paper Learning Feature Representations with K-means (Coates & Ng, 2012) https://www-cs.stanford.edu/~acoates/papers/coatesng_nntot2012.pdf. I did not finish the deep learning yet.
See the following image, I tried the max pooling and average pooling to see if there any difference, but I found an interesting point, the dataset with the clear feature (edge, color, etc. of the object in the image ) has the high performance, the dataset without clear feature has low performance.
See the four pictures on the bottom, I extracted one image from each dataset. I ordered them according the performance. I tried search online, but I did not get any useful information about my question.
I am not sure whether the point is correct or not. Could any one please explain this to me. Thanks!
machine-learning k-means
New contributor
$endgroup$
add a comment |
$begingroup$
I am very new in Machine learning, I recently implemented the spherical k-means, but finally I found a interesting point from the result. I used four datasets, they are minst, cifar-10, fashion-minst, and svhn. I was following the paper Learning Feature Representations with K-means (Coates & Ng, 2012) https://www-cs.stanford.edu/~acoates/papers/coatesng_nntot2012.pdf. I did not finish the deep learning yet.
See the following image, I tried the max pooling and average pooling to see if there any difference, but I found an interesting point, the dataset with the clear feature (edge, color, etc. of the object in the image ) has the high performance, the dataset without clear feature has low performance.
See the four pictures on the bottom, I extracted one image from each dataset. I ordered them according the performance. I tried search online, but I did not get any useful information about my question.
I am not sure whether the point is correct or not. Could any one please explain this to me. Thanks!
machine-learning k-means
New contributor
$endgroup$
add a comment |
$begingroup$
I am very new in Machine learning, I recently implemented the spherical k-means, but finally I found a interesting point from the result. I used four datasets, they are minst, cifar-10, fashion-minst, and svhn. I was following the paper Learning Feature Representations with K-means (Coates & Ng, 2012) https://www-cs.stanford.edu/~acoates/papers/coatesng_nntot2012.pdf. I did not finish the deep learning yet.
See the following image, I tried the max pooling and average pooling to see if there any difference, but I found an interesting point, the dataset with the clear feature (edge, color, etc. of the object in the image ) has the high performance, the dataset without clear feature has low performance.
See the four pictures on the bottom, I extracted one image from each dataset. I ordered them according the performance. I tried search online, but I did not get any useful information about my question.
I am not sure whether the point is correct or not. Could any one please explain this to me. Thanks!
machine-learning k-means
New contributor
$endgroup$
I am very new in Machine learning, I recently implemented the spherical k-means, but finally I found a interesting point from the result. I used four datasets, they are minst, cifar-10, fashion-minst, and svhn. I was following the paper Learning Feature Representations with K-means (Coates & Ng, 2012) https://www-cs.stanford.edu/~acoates/papers/coatesng_nntot2012.pdf. I did not finish the deep learning yet.
See the following image, I tried the max pooling and average pooling to see if there any difference, but I found an interesting point, the dataset with the clear feature (edge, color, etc. of the object in the image ) has the high performance, the dataset without clear feature has low performance.
See the four pictures on the bottom, I extracted one image from each dataset. I ordered them according the performance. I tried search online, but I did not get any useful information about my question.
I am not sure whether the point is correct or not. Could any one please explain this to me. Thanks!
machine-learning k-means
machine-learning k-means
New contributor
New contributor
New contributor
asked 2 hours ago
Kreedz ZhenKreedz Zhen
1
1
New contributor
New contributor
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function ()
return StackExchange.using("mathjaxEditing", function ()
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix)
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
);
);
, "mathjax-editing");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Kreedz Zhen is a new contributor. Be nice, and check out our Code of Conduct.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48643%2fwill-the-features-in-the-image-edge-color-etc-impacts-on-the-performance%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Kreedz Zhen is a new contributor. Be nice, and check out our Code of Conduct.
Kreedz Zhen is a new contributor. Be nice, and check out our Code of Conduct.
Kreedz Zhen is a new contributor. Be nice, and check out our Code of Conduct.
Kreedz Zhen is a new contributor. Be nice, and check out our Code of Conduct.
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f48643%2fwill-the-features-in-the-image-edge-color-etc-impacts-on-the-performance%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown