Knygos.lt klubas Knygos.lt nariams
104,64 €
-30%
Įprastai
149,49 €
Multiple alternative clusterings and dimensionality reduction
Multiple alternative clusterings and dimensionality reduction
Knygos.lt klubas Knygos.lt nariams
104,64 €
-30%
Įprastai
149,49 €
  • Išsiųsime per 12–18 d.d.
Clustering is the process of grouping objects based on some notion of similarity. It is commonly applied for exploratory data analysis, segmentation, preprocessing and data summarization.Traditional clustering algorithms only find one clustering solution. However, data can be grouped and interpreted in many different ways. Moreover, different clustering solutions are interesting for different purposes. Instead of committing to one clustering solution, here we introduce four methods that can pro…
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 148
  • ISBN-10: 3639718860
  • ISBN-13: 9783639718867
  • Formatas: 15.2 x 22.9 x 0.9 cm, minkšti viršeliai
  • Kalba: Anglų

Multiple alternative clusterings and dimensionality reduction (el. knyga) (skaityta knyga) | knygos.lt

Atsiliepimai

Aprašymas

Clustering is the process of grouping objects based on some notion of similarity. It is commonly applied for exploratory data analysis, segmentation, preprocessing and data summarization.Traditional clustering algorithms only find one clustering solution. However, data can be grouped and interpreted in many different ways. Moreover, different clustering solutions are interesting for different purposes. Instead of committing to one clustering solution, here we introduce four methods that can provide several possible alternative clustering solutions to the user for exploratory data analysis.

Knygos.lt klubas
Knygos.lt nariams
104,64 €
-30%
Įprastai
149,49 €
Kaina registruotiems pirkėjams
Prisijunkite ir už šią prekę
gausite 1,49 Knygų Eurų!?
Išsiųsime per 12–18 d.d.
Įsigykite dovanų kuponą
Daugiau
  • Autorius: Donglin Niu
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 148
  • ISBN-10: 3639718860
  • ISBN-13: 9783639718867
  • Formatas: 15.2 x 22.9 x 0.9 cm, minkšti viršeliai
  • Kalba: Anglų

Clustering is the process of grouping objects based on some notion of similarity. It is commonly applied for exploratory data analysis, segmentation, preprocessing and data summarization.Traditional clustering algorithms only find one clustering solution. However, data can be grouped and interpreted in many different ways. Moreover, different clustering solutions are interesting for different purposes. Instead of committing to one clustering solution, here we introduce four methods that can provide several possible alternative clustering solutions to the user for exploratory data analysis.

Atsiliepimai

  • Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
(rodomas nebus)