Python Implement K-Mean Clustering on given datasets

1: Fishes.CSV

species	weight	length1	length2	length3	height	width
Bream	242	23.2	25.4	30	38.4	13.4
Bream	290	24	26.3	31.2	40	13.8
Bream	340	23.9	26.5	31.1	39.8	15.1
Bream	363	26.3	29	33.5	38	13.3
Bream	430	26.5	29	34	36.6	15.1
Bream	450	26.8	29.7	34.7	39.2	14.2
Bream	500	26.8	29.7	34.5	41.1	15.3
Bream	390	27.6	30	35	36.2	13.4
Bream	450	27.6	30	35.1	39.9	13.8
Bream	500	28.5	30.7	36.2	39.3	13.7
Bream	475	28.4	31	36.2	39.4	14.1
Bream	500	28.7	31	36.2	39.7	13.3
Bream	500	29.1	31.5	36.4	37.8	12

2: Seeds,CSV

area	perimeter	compactness	length	width	asymmetry_coefficient	groove_length	grain_variety
15.26	14.84	0.871	5.763	3.312	2.221	5.22	Kama wheat
14.88	14.57	0.8811	5.554	3.333	1.018	4.956	Kama wheat
14.29	14.09	0.905	5.291	3.337	2.699	4.825	Kama wheat
13.84	13.94	0.8955	5.324	3.379	2.259	4.805	Kama wheat
16.14	14.99	0.9034	5.658	3.562	1.355	5.175	Kama wheat
14.38	14.21	0.8951	5.386	3.312	2.462	4.956	Kama wheat
14.69	14.49	0.8799	5.563	3.259	3.586	5.219	Kama wheat