| 000 -LEADER |
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| fixed length control field |
a |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20191104145506.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
191104b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
AIKTC-KRRC |
| Transcribing agency |
AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
10306 |
| Author |
Rimal, Yagyanath |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Machine Learning Cluster Analysis for Large Categorical Data Using R Programming |
| 250 ## - EDITION STATEMENT |
|---|
| Volume, Issue number |
Vol.6(2), May-Aug |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
New Delhi |
| Name of publisher, distributor, etc. |
STM Journals |
| Year |
2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Pagination |
23-34p. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This review paper clearly discusses the compression between various types of cluster analysis of large categorical data sets. Although there is large gap between the choice of cluster analysis for large data in research design. Its primary purpose is to explain the simplest way of clustering analysis whose data structure were wide scattered using R software whose outputs were sufficiently explain with various intermediate output and graphical interpretation to reach the final conclusion. Therefore, this paper meets the choice of clustering when data sets with large dimensions and its strengths for data analysis of high-dimensional categorical data vectors of unequal length of alignment techniques to equalize its lengths using R programming. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
4622 |
| Topical term or geographic name entry element |
Computer Engineering |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Recent trends in programming languages |
| Place, publisher, and date of publication |
Noida STM Journals |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| URL |
http://computers.stmjournals.com/index.php?journal=RTPL&page=article&op=view&path%5B%5D=2237 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Articles Abstract Database |
