Orange: Distance Transformation - Revision history

Onnowpurbo at 21:44, 18 March 2020

2020-03-18T21:44:13Z

Onnowpurbo: /* Contoh */

2020-03-18T10:35:14Z

Contoh

Onnowpurbo: /* Contoh */

2020-02-23T02:51:45Z

Contoh

Onnowpurbo at 00:51, 23 February 2020

2020-02-23T00:51:46Z

Onnowpurbo at 01:15, 29 January 2020

2020-01-29T01:15:04Z

Onnowpurbo at 00:59, 24 January 2020

2020-01-24T00:59:26Z

Onnowpurbo: Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html Transforms distances in a dataset. Inputs Distances: distance matr..."

2020-01-16T23:59:22Z

Created page with "Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html Transforms distances in a dataset. Inputs Distances: distance matr..."

New page

Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html

Transforms distances in a dataset.

Inputs

Distances: distance matrix

Outputs

Distances: transformed distance matrix

The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.

../../_images/DistanceTransformation-stamped.png

Choose the type of Normalization:

No normalization

To interval [0, 1]

To interval [-1, 1]

Sigmoid function: 1/(1+exp(-X))

Choose the type of Inversion:

No inversion

-X

1 - X

max(X) - X

1/X

Produce a report.

After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.

Example

In the snapshot below, you can see how transformation affects the distance matrix. We loaded the Iris dataset and calculated the distances between rows with the help of the Distances widget. In order to demonstrate how Distance Transformation affects the Distance Matrix, we created the workflow below and compared the transformed distance matrix with the “original” one.

../../_images/DistanceTransformation-Example.png

==Referensi==

* https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html

==Pranala Menarik==

* [[Orange]]

@@ Line 11: / Line 11: @@
   Distances: transformed distance matrix
-Widget Distances Transformation digunakan untuk normalisasi dan inversi dari distance matrices. Normalisasi data diperlukan untuk membawa semua variabel ke dalam proporsi satu sama lain.
+Widget Distance Transformation digunakan untuk normalisasi dan inversi dari distance matrix. Normalisasi data diperlukan untuk membawa semua variabel ke dalam proporsi satu sama lain.
 [[File:DistanceTransformation-stamped.png|center|200px|thumb]]

@@ Line 31: / Line 31: @@
 ==Contoh==
-Dalam snapshot di bawah ini, kita dapat melihat bagaimana transformasi memengaruhi distance matrix. Kita me-load dataset Iris dan menghitung jarak antara baris dengan bantuan widget Distances. Untuk menunjukkan bagaimana  Distance Transformation memengaruhi Distance Matrix, kita membuat workflow di bawah ini dan membandingkan transformed distance matrix dengan yang "asli".
+Dalam snapshot di bawah ini, kita dapat melihat bagaimana transformasi mempengaruhi distance matrix. Kita me-load dataset Iris dan menghitung jarak antara baris dengan bantuan widget Distances. Untuk menunjukkan bagaimana Distance Transformation mempengaruhi Distance Matrix, kita membuat workflow di bawah ini dan membandingkan transformed distance matrix dengan yang "asli".
 [[File:DistanceTransformation-Example.png|center|200px|thumb]]

@@ Line 31: / Line 31: @@
 ==Contoh==
-In the snapshot below, you can see how transformation affects the distance matrix. We loaded the Iris dataset and calculated the distances between rows with the help of the Distances widget. In order to demonstrate how Distance Transformation affects the Distance Matrix, we created the workflow below and compared the transformed distance matrix with the “original” one.
+Dalam snapshot di bawah ini, kita dapat melihat bagaimana transformasi memengaruhi distance matrix. Kita me-load dataset Iris dan menghitung jarak antara baris dengan bantuan widget Distances. Untuk menunjukkan bagaimana  Distance Transformation memengaruhi Distance Matrix, kita membuat workflow di bawah ini dan membandingkan transformed distance matrix dengan yang "asli".
 [[File:DistanceTransformation-Example.png|center|200px|thumb]]
 ==Referensi==

@@ Line 1: / Line 1: @@
 Sumber: https://docs.biolab.si//3/visual-programming/widgets/unsupervised/distancetransformation.html
-Transforms distances in a dataset.
+Transformasikan distances yang ada di dataset.
 ==Input==
@@ Line 11: / Line 11: @@
   Distances: transformed distance matrix
-The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.
+Widget Distances Transformation digunakan untuk normalisasi dan inversi dari distance matrices. Normalisasi data diperlukan untuk membawa semua variabel ke dalam proporsi satu sama lain.
 [[File:DistanceTransformation-stamped.png|center|200px|thumb]]

@@ Line 3: / Line 3: @@
 Transforms distances in a dataset.
-Inputs
+==Input==
-    Distances: distance matrix
+ Distances: distance matrix
-Outputs
+==Output==
-    Distances: transformed distance matrix
+ Distances: transformed distance matrix
 The Distances Transformation widget is used for the normalization and inversion of distance matrices. The normalization of data is necessary to bring all the variables into proportion with one another.
@@ Line 15: / Line 15: @@
 [[File:DistanceTransformation-stamped.png|center|200px|thumb]]
-    Choose the type of Normalization:
+* Choose the type of Normalization:
-        No normalization
+** No normalization
-        To interval [0, 1]
+** To interval [0, 1]
-        To interval [-1, 1]
+** To interval [-1, 1]
-        Sigmoid function: 1/(1+exp(-X))
+** Sigmoid function: 1/(1+exp(-X))
-    Choose the type of Inversion:
+* Choose the type of Inversion:
-        No inversion
+** No inversion
-        -X
+** -X
-- X
+** 1 - X
-        max(X) - X
+** max(X) - X
-/X
+** 1/X
-    Produce a report.
+* Produce a report.
-    After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.
+* After changing the settings, you need to click Apply to commit changes to other widgets. Alternatively, tick Apply automatically.
 ==Contoh==