Harsh Wardhan - 5 months ago 53

Python Question

I'm using DBSCAN to find clusters of pixel values of an RGB image.

`db = DBSCAN(eps=0.3, min_samples=10).fit(X)`

where,

`X`

`N x 3`

`X`

Now, I want to assign weights to pixel values as a function of distance from the center of the image.

And this is the function I'm using:

`score = 1 / (1 + math.exp(-a * distance)) # a = 0.001`

I compute

`weight_matrix`

`score`

Next I did this:

`db = DBSCAN(eps=0.3, min_samples=10).fit(X,y=None, sample_weight=weight_matrix)`

where, length of the

`weight_matrix`

`X`

But I get the following error:

`TypeError: fit() got an unexpected keyword argument 'y'`

So I tried doing it like this:

`db = DBSCAN(eps=0.3, min_samples=10).fit(X, sample_weight=weight_matrix)`

Now I get this error:

`TypeError: fit() got an unexpected keyword argument 'sample_weight'`

I think I'm passing the arguments incorrectly, but couldn't be sure. My scikit-learn version is 0.14.0.

Answer

It seems that you are using scikit-learn v <= 0.15, as this is the last version where DBSCAN had fit of form

```
fit(X)
```

since 0.16 it is

```
fit(X, y=None, sample_weight=None)
```

Simply update your scikit-learn to 0.16 or 0.17.X

Source (Stackoverflow)

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