pyqt_data_analysis/libdataanalysis/8-Kmeans代码实现/data/microchips-tests.csv

1	param_1	param_2	validity
2	0.051267	0.69956	1
3	-0.092742	0.68494	1
4	-0.21371	0.69225	1
5	-0.375	0.50219	1
6	-0.51325	0.46564	1
7	-0.52477	0.2098	1
8	-0.39804	0.034357	1
9	-0.30588	-0.19225	1
10	0.016705	-0.40424	1
11	0.13191	-0.51389	1
12	0.38537	-0.56506	1
13	0.52938	-0.5212	1
14	0.63882	-0.24342	1
15	0.73675	-0.18494	1
16	0.54666	0.48757	1
17	0.322	0.5826	1
18	0.16647	0.53874	1
19	-0.046659	0.81652	1
20	-0.17339	0.69956	1
21	-0.47869	0.63377	1
22	-0.60541	0.59722	1
23	-0.62846	0.33406	1
24	-0.59389	0.005117	1
25	-0.42108	-0.27266	1
26	-0.11578	-0.39693	1
27	0.20104	-0.60161	1
28	0.46601	-0.53582	1
29	0.67339	-0.53582	1
30	-0.13882	0.54605	1
31	-0.29435	0.77997	1
32	-0.26555	0.96272	1
33	-0.16187	0.8019	1
34	-0.17339	0.64839	1
35	-0.28283	0.47295	1
36	-0.36348	0.31213	1
37	-0.30012	0.027047	1
38	-0.23675	-0.21418	1
39	-0.06394	-0.18494	1
40	0.062788	-0.16301	1
41	0.22984	-0.41155	1
42	0.2932	-0.2288	1
43	0.48329	-0.18494	1
44	0.64459	-0.14108	1
45	0.46025	0.012427	1
46	0.6273	0.15863	1
47	0.57546	0.26827	1
48	0.72523	0.44371	1
49	0.22408	0.52412	1
50	0.44297	0.67032	1
51	0.322	0.69225	1
52	0.13767	0.57529	1
53	-0.0063364	0.39985	1
54	-0.092742	0.55336	1
55	-0.20795	0.35599	1
56	-0.20795	0.17325	1
57	-0.43836	0.21711	1
58	-0.21947	-0.016813	1
59	-0.13882	-0.27266	1
60	0.18376	0.93348	0
61	0.22408	0.77997	0
62	0.29896	0.61915	0
63	0.50634	0.75804	0
64	0.61578	0.7288	0
65	0.60426	0.59722	0
66	0.76555	0.50219	0
67	0.92684	0.3633	0
68	0.82316	0.27558	0
69	0.96141	0.085526	0
70	0.93836	0.012427	0
71	0.86348	-0.082602	0
72	0.89804	-0.20687	0
73	0.85196	-0.36769	0
74	0.82892	-0.5212	0
75	0.79435	-0.55775	0
76	0.59274	-0.7405	0
77	0.51786	-0.5943	0
78	0.46601	-0.41886	0
79	0.35081	-0.57968	0
80	0.28744	-0.76974	0
81	0.085829	-0.75512	0
82	0.14919	-0.57968	0
83	-0.13306	-0.4481	0
84	-0.40956	-0.41155	0
85	-0.39228	-0.25804	0
86	-0.74366	-0.25804	0
87	-0.69758	0.041667	0
88	-0.75518	0.2902	0
89	-0.69758	0.68494	0
90	-0.4038	0.70687	0
91	-0.38076	0.91886	0
92	-0.50749	0.90424	0
93	-0.54781	0.70687	0
94	0.10311	0.77997	0
95	0.057028	0.91886	0
96	-0.10426	0.99196	0
97	-0.081221	1.1089	0
98	0.28744	1.087	0
99	0.39689	0.82383	0
100	0.63882	0.88962	0
101	0.82316	0.66301	0
102	0.67339	0.64108	0
103	1.0709	0.10015	0
104	-0.046659	-0.57968	0
105	-0.23675	-0.63816	0
106	-0.15035	-0.36769	0
107	-0.49021	-0.3019	0
108	-0.46717	-0.13377	0
109	-0.28859	-0.060673	0
110	-0.61118	-0.067982	0
111	-0.66302	-0.21418	0
112	-0.59965	-0.41886	0
113	-0.72638	-0.082602	0
114	-0.83007	0.31213	0
115	-0.72062	0.53874	0
116	-0.59389	0.49488	0
117	-0.48445	0.99927	0
118	-0.0063364	0.99927	0
119	0.63265	-0.030612	0