Changeset 5347


Ignore:
Timestamp:
Oct 14, 2022 10:55:32 AM (4 months ago)
Author:
vondreele
Message:

fixes to Cluster Analysis tutorial wrt new plot options.

Location:
Tutorials/ClusterAnalysis
Files:
40 added
2 edited

Legend:

Unmodified
Added
Removed
  • Tutorials/ClusterAnalysis/Cluster and Outlier Analysis.htm

    r5339 r5347  
    2424  <o:Author>Robert Von Dreele</o:Author>
    2525  <o:LastAuthor>Von Dreele, Robert B.</o:LastAuthor>
    26   <o:Revision>16</o:Revision>
    27   <o:TotalTime>1500</o:TotalTime>
     26  <o:Revision>17</o:Revision>
     27  <o:TotalTime>1529</o:TotalTime>
    2828  <o:Created>2022-09-15T19:36:00Z</o:Created>
    29   <o:LastSaved>2022-09-26T14:53:00Z</o:LastSaved>
    30   <o:Pages>20</o:Pages>
    31   <o:Words>1660</o:Words>
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    33   <o:Lines>78</o:Lines>
     29  <o:LastSaved>2022-10-14T15:55:00Z</o:LastSaved>
     30  <o:Pages>18</o:Pages>
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    10751068data. It seeks to group similar (in some sense) data into groups (clusters).
    10761069Thus, it can help reduce a large volume of data to a few exemplar items which
    1077 you can then subject to detailed analysis (<span class=GramE>i.e.</span>
    1078 indexing, structure solution &amp; refinement) by other means. The
    1079 implementation in GSAS-II uses the cluster analysis tools found in the <span
    1080 class=SpellE>scipy</span> library as well as those found in the Scikit-learn
    1081 library. In this tutorial we will use items from both libraries that have been
    1082 selected as useful for powder diffraction data (PWDR) as well as Pair
    1083 Distribution Function (PDF) data. At each step in a cluster analysis, there are
    1084 a variety of options available for each of the algorithms. Some of these work
    1085 better for some kinds of data and others for different kinds of data. Data
     1070you can then subject to detailed analysis (i.e. indexing, structure solution
     1071&amp; refinement) by other means. The implementation in GSAS-II uses the
     1072cluster analysis tools found in the scipy library as well as those found in the
     1073Scikit-learn library. In this tutorial we will use items from both libraries
     1074that have been selected as useful for powder diffraction data (PWDR) as well as
     1075Pair Distribution Function (PDF) data. At each step in a cluster analysis,
     1076there are a variety of options available for each of the algorithms. Some of these
     1077work better for some kinds of data and others for different kinds of data. Data
    10861078taken during e. g. a temperature series tend to track along a curve with the
    10871079points bunched about structural phases encountered in the experiment while
     
    11111103project
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     1105item to open the provided project file. Change the directory to </span><b><span
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    11181108style='mso-bidi-font-family:"Times New Roman"'> to find the file.<o:p></o:p></span></p>
    11191109
     
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    11301120the 1<sup>st</sup> data set. You should immediately save (use </span><b><span
     
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