Multiple correspondence analysis usage with K-modes Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsCan I apply Clustering algorithms to the result of Manifold Visualization Methods?Principal components analysis with compositional dataMultidimensional Scaling with Categorical DataHandling features with multiple values for clusteringLink between Correspondance Analysis and MCAClustering with multiple distance measuresCategorical data with order and blanks, is frequent dataset or k-modes a better option?Spectral clustering with heat kernel weight matrixEDA for analysis of nominal variable with high cardinalityDealing with multiple distinct-value categorical variables
What would you call this weird metallic apparatus that allows you to lift people?
Dyck paths with extra diagonals from valleys (Laser construction)
In musical terms, what properties are varied by the human voice to produce different words / syllables?
How does the math work when buying airline miles?
What do you call the main part of a joke?
Trademark violation for app?
What initially awakened the Balrog?
One-one communication
How do I tell what width chain my used chainring needs?
Is it possible to force a specific program to remain in memory after closing it?
How can I best take pictures of a moving speaker in a dark room with accent lights?
An adverb for when you're not exaggerating
What is the home of the drow in Flanaess?
How fail-safe is nr as stop bytes?
File name problem(?)
preposition before coffee
What is "gratricide"?
AppleTVs create a chatty alternate WiFi network
Is it possible to give , in economics, an example of a relation ( set of ordered pairs) that is not a function?
Antipodal Land Area Calculation
Is there hard evidence that the grant peer review system performs significantly better than random?
Did any compiler fully use 80-bit floating point?
Why weren't discrete x86 CPUs ever used in game hardware?
How much damage would a cupful of neutron star matter do to the Earth?
Multiple correspondence analysis usage with K-modes
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsCan I apply Clustering algorithms to the result of Manifold Visualization Methods?Principal components analysis with compositional dataMultidimensional Scaling with Categorical DataHandling features with multiple values for clusteringLink between Correspondance Analysis and MCAClustering with multiple distance measuresCategorical data with order and blanks, is frequent dataset or k-modes a better option?Spectral clustering with heat kernel weight matrixEDA for analysis of nominal variable with high cardinalityDealing with multiple distinct-value categorical variables
$begingroup$
I plan to cluster a categorical survey data set with 30 questions (5 answer choices to each). I am a bit confused about whether MCA is really needed?
I would be able to cluster using the K-modes algorithm anyway. So where does MCA come into play? I know it can be used to reduce the dimensionality, but is it going to be used AFTER I have the cluster labels from K-modes so that I can project these labels unto a lower dimensional space (3,4 etc)that is more suited to visualization? Practically speaking I want to know at what stage should I do the MCA, after the k-modes or before?
Also how do I visualize the results of K modes clustering?, since the axes do not represent distance anymore.
python clustering categorical-data dimensionality-reduction
edited Apr 4 at 18:47
Stephen Rauch♦
1,52551330
asked Apr 4 at 15:21
Ray92Ray92
11
$endgroup$
add a comment |
$begingroup$
I plan to cluster a categorical survey data set with 30 questions (5 answer choices to each). I am a bit confused about whether MCA is really needed?
I would be able to cluster using the K-modes algorithm anyway. So where does MCA come into play? I know it can be used to reduce the dimensionality, but is it going to be used AFTER I have the cluster labels from K-modes so that I can project these labels unto a lower dimensional space (3,4 etc)that is more suited to visualization? Practically speaking I want to know at what stage should I do the MCA, after the k-modes or before?
Also how do I visualize the results of K modes clustering?, since the axes do not represent distance anymore.
python clustering categorical-data dimensionality-reduction
edited Apr 4 at 18:47
Stephen Rauch♦
1,52551330
asked Apr 4 at 15:21
Ray92Ray92
11
$endgroup$
add a comment |
$begingroup$
I plan to cluster a categorical survey data set with 30 questions (5 answer choices to each). I am a bit confused about whether MCA is really needed?
I would be able to cluster using the K-modes algorithm anyway. So where does MCA come into play? I know it can be used to reduce the dimensionality, but is it going to be used AFTER I have the cluster labels from K-modes so that I can project these labels unto a lower dimensional space (3,4 etc)that is more suited to visualization? Practically speaking I want to know at what stage should I do the MCA, after the k-modes or before?
Also how do I visualize the results of K modes clustering?, since the axes do not represent distance anymore.
python clustering categorical-data dimensionality-reduction
edited Apr 4 at 18:47
Stephen Rauch♦
1,52551330
asked Apr 4 at 15:21
Ray92Ray92
11
$endgroup$
I plan to cluster a categorical survey data set with 30 questions (5 answer choices to each). I am a bit confused about whether MCA is really needed?
I would be able to cluster using the K-modes algorithm anyway. So where does MCA come into play? I know it can be used to reduce the dimensionality, but is it going to be used AFTER I have the cluster labels from K-modes so that I can project these labels unto a lower dimensional space (3,4 etc)that is more suited to visualization? Practically speaking I want to know at what stage should I do the MCA, after the k-modes or before?
Also how do I visualize the results of K modes clustering?, since the axes do not represent distance anymore.
python clustering categorical-data dimensionality-reduction
python clustering categorical-data dimensionality-reduction
edited Apr 4 at 18:47
Stephen Rauch♦
1,52551330
asked Apr 4 at 15:21
Ray92Ray92
11
edited Apr 4 at 18:47
Stephen Rauch♦
1,52551330
asked Apr 4 at 15:21
Ray92Ray92
11
edited Apr 4 at 18:47
Stephen Rauch♦
1,52551330
edited Apr 4 at 18:47
Stephen Rauch♦
1,52551330
edited Apr 4 at 18:47
Stephen Rauch♦
1,52551330
1,52551330
asked Apr 4 at 15:21
Ray92Ray92
11
asked Apr 4 at 15:21
Ray92Ray92
11
asked Apr 4 at 15:21
Ray92Ray92
11
11
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
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
);
);
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%2f48612%2fmultiple-correspondence-analysis-usage-with-k-modes%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
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%2f48612%2fmultiple-correspondence-analysis-usage-with-k-modes%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
