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i have textual data points.. (1000+) text documents.. i used K-means to cluster these data, then used SVD method upon (TF-IDF matrix) then select the 2nd and 3d columns in VT matrix to represent these documents in 2D in scatter plot, so after i plotting points and colored them based on their cluster id , i found there are many points are overlapping with others... so kindly i would like to know is there any problem in clustering algorithm or scatter plot do not reflect the correct nature of data, or should i use another method to plotting my data points.

thanks ... attached my result data points in scatter plot where each color is an cluster id. enter image description here

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  • $\begingroup$ Why not the first column? $\endgroup$
    – Has QUIT--Anony-Mousse
    Commented Jul 21, 2017 at 22:22

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The scatter plot is only showing two dimensions of a high-dimensional space, so it's expected that there will be overlap. That is, some points that are different in n-dimensional space will look similar in a 2-dimensional space.

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