Let us wish you a happy birthday!
Date of Birth
Please fill in a complete birthday Enter a valid birthday
×
Pls-PM Latent Unit Grouping and Classification with Kohonen Networks by Nobre Sergio - Paperback
560.70 AED

Pls-PM Latent Unit Grouping and Classification with Kohonen Networks by Nobre Sergio - Paperback

Be the first to rate this product 

560.70 AED 

  - You Save -560.71 AED
All prices include VAT  Details
FREE Shipping Details
Category Type
Mathematics
ISBN
9783639711165
Author
Nobre Sergio
Publisher
Scholars' Press
Description:

The French-style of data analysis developed by Jean-Paul Benzecri, data analysis a la Francaise was based on the philosophical assumption which acknowledges the development of models to fit the data, instead of the rejection of hypotheses based on the lack of fit. Visual presentations make it easier to intuitively understand the data structure and "to stabilize and memorize" the forms of ...

Ships From United States
Ship to Dubai (Change city)
Delivered within Saturday, Aug 4 - Sunday, Aug 5 to Dubai

Condition:
New
Sold by:
InternationalBookStore (87% Positive Rating)

PRODUCT INFORMATION

  •  

    Specifications

    Category Type
    Mathematics
    ISBN
    9783639711165
    Languages
    English
    Item EAN
    2724436898656
    People
    Author
    Nobre Sergio
    Category Type
    Mathematics
    ISBN
    9783639711165
    Languages
    English
    Item EAN
    2724436898656
    People
    Author
    Nobre Sergio
    People
    Publisher
    Scholars' Press
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    The French-style of data analysis developed by Jean-Paul Benzecri, data analysis a la Francaise was based on the philosophical assumption which acknowledges the development of models to fit the data, instead of the rejection of hypotheses based on the lack of fit. Visual presentations make it

    The French-style of data analysis developed by Jean-Paul Benzecri, data analysis a la Francaise was based on the philosophical assumption which acknowledges the development of models to fit the data, instead of the rejection of hypotheses based on the lack of fit. Visual presentations make it easier to intuitively understand the data structure and "to stabilize and memorize" the forms of the relationships and further interpretation. The different scientific communities do not agree with the same definitions for the heterogeneity grouping/discrimination taxonomies. The assumption of the latent data structure is homogenous is often unrealistic. On the measurement model level, sequential segmentation strategies, usually fail to identify groups of units with distinctive inner path model estimates. The solution proposed by researchers is based on other segmentation approaches; studies show that these techniques continue to suffer from deficiencies related for example with the types of heterogeneity covered, shapes of clusters or distributional assumptions. The proposed method, KN-PLS is appropriate for complex type of shapes of data creating well defined latent classes.

    Product Features:
    • Category: Mathematics
    • Binding: Paperback
    • Language of Text: English
    • Author(s): Nobre Sergio
    • Publisher: Scholars' Press
    • ISBN: 9783639711165
    • Number of Pages: 276
    • Dimensions: 9 x 6 x 0.62 inches
 

Customer Reviews

0
No ratings yet
Be the first to rate this product
Rate this product:

Sponsored products for you

×

Please verify your mobile number to complete your checkout

We will send you an SMS containing a verification code. Please double check your mobile number and click on "Send Verification Code".

+ Edit