time-series-classification-and-clustering

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the function k_means_clust no value and causes a noneType error

fltenwall

the k_means_clust function has a error

2

``` if closest_clust in assignments: assignments[closest_clust].append(ind) else: assignments[closest_clust]=[] ``` this code is error! when the element match the clus , the element will not append to the clust ,it make...

kylinLiu

line 548, you should let the first argument be a sequence. Because of the function "random.sample()" needs its first argument to be a sequence, so you'll need to convert data...

Concenterate

Error while recalculate centroids of clusters(int is not iterable)

2

#recalculate centroids of clusters for key in self.assignments: clust_sum=0 for k in self.assignments[key]: clust_sum=clust_sum+data[k] self.centroids[key]=[m/len(self.assignments[key]) for m in clust_sum]-- error in this line,int is not iterable. change clust_sum declaration to...

subramanya-sridhar

Hi Alex, Can you please tell about/ describe a bit of data. What number or the row suggest what.?

rachitagrwl

Thanks for the excellent ipython notebook. I have a doubt, can you please clarify. Using k-means clustering, what is the conclusion? there are no clusters as such. How can we...

rajeshkalluri009

I've followed the exact method (for Kmean Clustering) you've written in the tutorial. But it generates following error: ``` 100 iteration 1 100 iteration 2 69 iteration 3 48 iteration...

gh-osh

wanghai1988

Since the data is tab separated. It provides github for better display of the data.

aayush26

Hello, For some reason I can't load your notebook on http://nbviewer.ipython.org/

diego898