How would you explain Best Rank Approximation to a beginner.

The name of the pictureThe name of the pictureThe name of the pictureClash Royale CLAN TAG#URR8PPP











up vote
-1
down vote

favorite












I am including a part of the text here from the Book by HopCroft and Kannan on Data Sciences. This is so that the context is understood
"In particular, this means that the n × d matrix A can be expressed as the product
of an n × k matrix U describing the customers and a k × d matrix V describing the
movies. Finding the best rank k approximation A k by SVD gives such a U and V . One
twist is that A may not be exactly equal to U V , in which case A − U V is treated as
noise"




matrices statistics




share|cite|improve this question























    up vote
    -1
    down vote

    favorite












    I am including a part of the text here from the Book by HopCroft and Kannan on Data Sciences. This is so that the context is understood
    "In particular, this means that the n × d matrix A can be expressed as the product
    of an n × k matrix U describing the customers and a k × d matrix V describing the
    movies. Finding the best rank k approximation A k by SVD gives such a U and V . One
    twist is that A may not be exactly equal to U V , in which case A − U V is treated as
    noise"




    matrices statistics




    share|cite|improve this question





















      up vote
      -1
      down vote

      favorite









      up vote
      -1
      down vote

      favorite











      I am including a part of the text here from the Book by HopCroft and Kannan on Data Sciences. This is so that the context is understood
      "In particular, this means that the n × d matrix A can be expressed as the product
      of an n × k matrix U describing the customers and a k × d matrix V describing the
      movies. Finding the best rank k approximation A k by SVD gives such a U and V . One
      twist is that A may not be exactly equal to U V , in which case A − U V is treated as
      noise"




      matrices statistics




      share|cite|improve this question











      I am including a part of the text here from the Book by HopCroft and Kannan on Data Sciences. This is so that the context is understood
      "In particular, this means that the n × d matrix A can be expressed as the product
      of an n × k matrix U describing the customers and a k × d matrix V describing the
      movies. Finding the best rank k approximation A k by SVD gives such a U and V . One
      twist is that A may not be exactly equal to U V , in which case A − U V is treated as
      noise"





      matrices statistics





      share|cite|improve this question










      share|cite|improve this question




      share|cite|improve this question









      asked Aug 2 at 13:34









      Lekhani Ray

      1




      1

























          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: "69"
          ;
          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',
          convertImagesToLinks: true,
          noModals: false,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          );



          );








           

          draft saved


          draft discarded


















          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2870066%2fhow-would-you-explain-best-rank-approximation-to-a-beginner%23new-answer', 'question_page');

          );

          Post as a guest






















          active

          oldest

          votes













          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes










           

          draft saved


          draft discarded


























           


          draft saved


          draft discarded














          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2870066%2fhow-would-you-explain-best-rank-approximation-to-a-beginner%23new-answer', 'question_page');

          );

          Post as a guest
































































          Comments

          Post a Comment

          Popular posts from this blog

          What is the equation of a 3D cone with generalised tilt?

          Image
          Clash Royale CLAN TAG #URR8PPP up vote 2 down vote favorite What is the equation of a 3D cone with generalized tilt? I've noticed that in most equations given to represent a cone, there is no parameter which defines the tilt of the cone in 3D space and that most of them have their point at the origin $(0,0,0)$ - I was wondering if anyone could give me a more generalized cone equation for a cone in any position in 3D space 3d share | cite | improve this question edited Jul 25 '16 at 0:05 ervx 9,425 3 13 36 asked Jul 24 '16 at 15:38 Charlene 11 2 2 Welcome to Math.SE! Could you please explain a few things to help people give an answer useful to you: 1. What do you mean by "generalized tilt"? 2. Are you asking about a right circular cone? Does the angle at the vertex matter? 3. What form of answer (implicit, parametric...?) are you looking for? 4. If this is homework, what tools do you have available, an...
          Read more

          Color the edges and diagonals of a regular polygon

          Image
          Clash Royale CLAN TAG #URR8PPP up vote 5 down vote favorite 1 Here is the problem: For what $n$ is it possible to color the edges and diagonals of an $n$-side regular polygon with $dfracbinomn23$ colors, such that you use every color exactly three times and for every color the three segments (edges or diagonals) with that color form a triangle? Trivially $nequiv 0 text or 1 pmod3$. I can also prove that if the statement is true for $k$ than it is true for $3k$ as well. How to finish? Please help! Thanks combinatorial-geometry share | cite | improve this question edited Aug 6 at 21:57 alcana 118 4 asked Aug 6 at 21:15 Leo Gardner 356 11 Even assuming "polyhpn" in the title is a typo for polygon , it is unclear what you mean by "the edges and sides". Aren't the side of a regular polygon the same as the edges? A regular $n$-sided polygon has $n$ edges. – hardmath Aug 6 at 21:20 3 $n$ ne...
          Read more

          Relationship between determinant of matrix and determinant of adjoint?

          Image
          Clash Royale CLAN TAG #URR8PPP up vote 2 down vote favorite We are studying adjoints in class, and I was curious if there is a relationship between the determinant of matrix A, and the determinant of the adjoint of matrix A? I assume there would be a relationship because finding the adjoint requires creating a cofactor matrix and then transposing it. linear-algebra determinant adjoint-operators share | cite | improve this question asked Nov 17 '17 at 17:32 CluelessCoder 32 5 For a square matrix $A$ of order $n$, we have $A(operatornameadj A)=(operatornameadj A)A=|A|I_n$ where $I_n$ is the identity matrix of order $n$. This should tell you about the determinant of the adjoint in terms of that of $A$ (use multiplicative property and other elementary properties of determinants). – Prasun Biswas Nov 17 '17 at 17:35 1 @CluelessCoder: see here: math.stackexchange.com/questions/516127/…...
          Read more