What is the name for this classification algorithm?
Can you help me find the name of this classification algorithm :
Assume we have data:
$n$ dimensional feature vectors we want to classify in two classes.
We model the classes as two $n$ dimensional gaussian distributions estimated from the data.
We classify a new vector to the class that maximizes the PDF(probability density function) at that point.
classification normal-distribution multivariate-analysis pdf algorithms
asked 3 hours ago
SoloNasusSoloNasus
1585
add a comment |
Can you help me find the name of this classification algorithm :
Assume we have data:
$n$ dimensional feature vectors we want to classify in two classes.
We model the classes as two $n$ dimensional gaussian distributions estimated from the data.
We classify a new vector to the class that maximizes the PDF(probability density function) at that point.
classification normal-distribution multivariate-analysis pdf algorithms
asked 3 hours ago
SoloNasusSoloNasus
1585
Two component Gaussian mixture model?
– Bey
19 mins ago
add a comment |
Can you help me find the name of this classification algorithm :
Assume we have data:
$n$ dimensional feature vectors we want to classify in two classes.
We model the classes as two $n$ dimensional gaussian distributions estimated from the data.
We classify a new vector to the class that maximizes the PDF(probability density function) at that point.
classification normal-distribution multivariate-analysis pdf algorithms
asked 3 hours ago
SoloNasusSoloNasus
1585
Can you help me find the name of this classification algorithm :
Assume we have data:
$n$ dimensional feature vectors we want to classify in two classes.
We model the classes as two $n$ dimensional gaussian distributions estimated from the data.
We classify a new vector to the class that maximizes the PDF(probability density function) at that point.
classification normal-distribution multivariate-analysis pdf algorithms
classification normal-distribution multivariate-analysis pdf algorithms
asked 3 hours ago
SoloNasusSoloNasus
1585
asked 3 hours ago
SoloNasusSoloNasus
1585
asked 3 hours ago
SoloNasusSoloNasus
1585
asked 3 hours ago
SoloNasusSoloNasus
1585
asked 3 hours ago
SoloNasusSoloNasus
1585
1585
Two component Gaussian mixture model?
– Bey
19 mins ago
add a comment |
Two component Gaussian mixture model?
– Bey
19 mins ago
Two component Gaussian mixture model?
– Bey
19 mins ago
Two component Gaussian mixture model?
– Bey
19 mins ago
add a comment |
1 Answer
1
active
oldest
votes
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
add a comment |
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: "65"
};
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%2fstats.stackexchange.com%2fquestions%2f387029%2fwhat-is-the-name-for-this-classification-algorithm%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
add a comment |
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
add a comment |
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
Probably Quadratic Discriminant Analysis.
There are also names for different constraints you could make:
Covariance matrices of both classes are equal - Linear Discriminant Analysis.
Only diagonal elements of the covariance matrix are non-zero - Naive Bayes Classifier
Covariance matrix is identity (diagonals = 1, non-diagonals = 0) - Nearest Centroid Classifier
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
edited 3 hours ago
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
answered 3 hours ago
Karolis KoncevičiusKarolis Koncevičius
1,74921425
1,74921425
add a comment |
add a comment |
Thanks for contributing an answer to Cross Validated!
- 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%2fstats.stackexchange.com%2fquestions%2f387029%2fwhat-is-the-name-for-this-classification-algorithm%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
Two component Gaussian mixture model?
– Bey
19 mins ago