I have a csv dataset and i want to use  two or more clustering algorithms, build an unsupervised time-series classifier to identify characteristic day-length patterns. in csv data. in csv dataset each of the columns in the csv data set includes sensor measurements of the same kind for light in a room (units in Lux). I want to use appropriate quantitative metrics to determine the number of time series clusters and to evaluate their quality. In light of the data and the differences between algorithms, i want to speculate on why a given method yielded quantitatively better clusters. I have used many different Prerequisites but I've not been successful to do so.. some where in directional i am going wrong .. any idea ?
in my dataset :↓

' Data columns (total 15 columns):
                   300000 non-null int64
    Date           300000 non-null object
  d1               300000 non-null int64
 d2                300000 non-null int64
  d3               300000 non-null int64
  d4               300000 non-null int64
  d5               300000 non-null int64
  d6               300000 non-null int64
  d7               300000 non-null int64
  d8               300000 non-null int64
  d9               300000 non-null int64
 d10               300000 non-null int64
 d11               300000 non-null int64
 d12               300000 non-null int64
 d13               300000 non-null int64
dtypes: int64(14), object(1)
memory usage: 34.3+ MB
~~~
' # sum1forline
Elapsed time :  0.07872253399997135
n =  300001


# lenopenreadlines
Elapsed time :  0.08887843000004068
n =  300001


# lenpd
Elapsed time :  0.35768378400010986
n =  300001


# csvreaderfor
Elapsed time :  0.4113426979999349
n =  300001


# openenum
Elapsed time :  0.08758717699995032
n =  300001
~~~

' df.shape 

(300000, 15)
~~~

'data.shape 

(300000, 13)
~~~

------------------------------
Reza Hashemi
------------------------------

#GlobalAIandDataScience
#GlobalDataScience

Hi Reza, have you learned of the specialized services in IBM Cloud ? I am referring to Watson Studio, whch is an IDE for Data Science.
Here is the link:
https://www.ibm.com/uk-en/cloud/watson-studio
You can freely create an IBM Cloud account with Lite plan meaning no costs.
https://cloud.ibm.com/login

Models you can build using various instruments: code oriented (Python and R in Jupyter Notebooks, where you can use the scikit learn library), but also the very new, graphical and ML automatized model building tool, developed by IBM Research: Auto AI. This, besides the better known SPSS Modeler, which is available using Watson Machine Learning service in conjunction with Watson Studio.
AutoAI uses various algorithms for the task selected, at the end of the processing, several models being transparently being compared.
The Data being used to train the model can be uploaded to a Cloud Object Storage to which the mentioned services connect.
This, aside from the possibility to feed real time data, with message hubs and streaming analytics, which you can also provision.
Let me/us if you need more information.

------------------------------
Viktor Kaznovsky
------------------------------

Hi guys 👋🏿

Princewill here,
I'm  new here.
I'll be interested in group projects in machine learning. 

Thanks

------------------------------
Princewill Okechukwu
------------------------------

Original Message:
Sent: Thu October 17, 2019 11:47 AM
From: Viktor Kaznovsky
Subject: Machine Learning

Hi Reza, have you learned of the specialized services in IBM Cloud ? I am referring to Watson Studio, whch is an IDE for Data Science.
Here is the link:
https://www.ibm.com/uk-en/cloud/watson-studio
You can freely create an IBM Cloud account with Lite plan meaning no costs.
https://cloud.ibm.com/login

Models you can build using various instruments: code oriented (Python and R in Jupyter Notebooks, where you can use the scikit learn library), but also the very new, graphical and ML automatized model building tool, developed by IBM Research: Auto AI. This, besides the better known SPSS Modeler, which is available using Watson Machine Learning service in conjunction with Watson Studio.
AutoAI uses various algorithms for the task selected, at the end of the processing, several models being transparently being compared.
The Data being used to train the model can be uploaded to a Cloud Object Storage to which the mentioned services connect.
This, aside from the possibility to feed real time data, with message hubs and streaming analytics, which you can also provision.
Let me/us if you need more information.

------------------------------
Viktor Kaznovsky
------------------------------

Hi Reza, have you learned of the specialized services in IBM Cloud ? I am referring to Watson Studio, whch is an IDE for Data Science.
Here is the link:
https://www.ibm.com/uk-en/cloud/watson-studio
You can freely create an IBM Cloud account with Lite plan meaning no costs.
https://cloud.ibm.com/login

Models you can build using various instruments: code oriented (Python and R in Jupyter Notebooks, where you can use the scikit learn library), but also the very new, graphical and ML automatized model building tool, developed by IBM Research: Auto AI. This, besides the better known SPSS Modeler, which is available using Watson Machine Learning service in conjunction with Watson Studio.
AutoAI uses various algorithms for the task selected, at the end of the processing, several models being transparently being compared.
The Data being used to train the model can be uploaded to a Cloud Object Storage to which the mentioned services connect.
This, aside from the possibility to feed real time data, with message hubs and streaming analytics, which you can also provision.
Let me/us if you need more information.

------------------------------
Viktor Kaznovsky
------------------------------

Very interesting, but I see no mistake.
But I am still learning the basics.

------------------------------
PLPinto.M.
------------------------------